SlideShare ist ein Scribd-Unternehmen logo
1 von 20
Downloaden Sie, um offline zu lesen
© 2014 IBM Corporation
Backup Options
IBM PureData™ System for Analytics,
powered by Netezza
Tony Pearson – IBM Master Inventor and Senior IT Specialist
March 2014
© 2014 IBM Corporation
IBM PureData for Analytics powered by Netezza – Backup Options
2
Part of the IBM Big Data Platform
Workload Optimized Solutions for All Your Analytic Needs
Analytics & Decision Management
Solutions
Big Data Infrastructure
IBM Big Data Platform
Accelerators
Information Integration & Governance
Visualization
& Discovery
Application
Development
Systems
Management
Stream
Computing
Hadoop
System
Data
Warehouse
PureData
System for Analytics
© 2014 IBM Corporation
IBM PureData for Analytics powered by Netezza – Backup Options
3
3
Spend Less Time Managing and More Time Innovating
No dbspace/tablespace sizing and configuration
No redo/physical/Logical log sizing and configuration
No page/block sizing and configuration for tables
No extent sizing and configuration for tables
No Temp space allocation and monitoring
No RAID level decisions for dbspaces
No logical volume creations of files
No integration of OS kernel recommendations
No maintenance of OS recommended patch levels
No JAD sessions to configure host/network/storage
No dbspace/tablespace sizing and configuration
No redo/physical/Logical log sizing and configuration
No page/block sizing and configuration for tables
No extent sizing and configuration for tables
No Temp space allocation and monitoring
No RAID level decisions for dbspaces
No logical volume creations of files
No integration of OS kernel recommendations
No maintenance of OS recommended patch levels
No JAD sessions to configure host/network/storage
Data Experts, not
Database Experts
Easy Administration Portal
No software installation
No indexes and tuning
No storage administration
IBM’s Advantage--FPGA
A Real-Time silicon
SQL accelerator
Dynamically
reprogrammed for each
individual query.
Eradicates ~95% of
system I/O before the
CPU ever sees it.
Completely unique to
PDA.
Simplicity and
Ease of
Administration
Simplicity and
Ease of
Administration
© 2014 IBM Corporation
IBM PureData for Analytics powered by Netezza – Backup Options
4
PureData System for Analytics Hardware Overview: Model N200x
User Data Capacity: 192 TB*
Data Scan Speed: 478 TB/hr*
Load Speed (per system): 5+ TB/hr
Active Data Slices: 96
Power Requirements: 7.5 kW
Cooling Requirements: 27,000 BTU/hr
* Assuming 4X compression
Scales from
1/4 Rack to 4
Racks
2 Hosts (Active-Passive)
2 Intel 2.7 GHz Sandy Bridge CPUs
7x300 GB SAS Drives
Red Hat Linux 6 64-bit
7 PureData for Analytics S-Blades™
2 Intel 8 Core 2+ GHz CPUs
2 8-Engine Xilinx Virtex-6 FPGAs
128 GB RAM + 8 GB slice buffer
Linux 64-bit Kernel
12 Disk Enclosures
288 600 GB SAS2 Drives
• 240 for User Data
• 14 for S-Blades
• 34 Spare
RAID 1 Mirroring
© 2014 IBM Corporation
IBM PureData for Analytics powered by Netezza – Backup Options
5
IBM PureData for Analytics – Reasons for Backup
IBM will take care of Red Hat Enterprise Linux,
Web Admin and other code as needed
–No need for you to back it up yourself
Firmware
• Linux
• Code
Metadata
• Host Catalog
• Global users, groups, permissions
User Data
Database 1
• Table A
• Table B
Database 2
• Table X
• Table Y
• Table Z
Backup this to protect host
configuration from data
corruption (rare)
Various reasons to backup database schema
and contents
–As part of firmware upgrade/downgrade
–To transfer data to another system
–Protect against hardware failure / disaster
–Protect against data corruption
© 2014 IBM Corporation
IBM PureData for Analytics powered by Netezza – Backup Options
6
Compressed versus Text-format
Firmware + 1
User Data
Database 1
• Table A
• Table B
Database 2
• Table X
• Table Y
• Table Z
Firmware
Firmware -1
Firmware
Compressed
database backup
Compressed
external tables
Text-format
external table
Other
Database
systems
Upgrade
Downgrade
Restore to same
or higher firmware
Restore to any,
but slower, takes
up more space
© 2014 IBM Corporation
IBM PureData for Analytics powered by Netezza – Backup Options
7
Two Primary Approaches
1. Filesystem Approach
Backup metadata and databases to
external NAS storage devices
Built-in CLI commands included
Scripts for large databases available
2. External Backup Software
Backup metadata and databases to
external backup server/media
User-initiated and Automatic scheduled
backups
Supports disk, tape and virtual tape
storage devices
Metadata
• Host Catalog
• Global users,
groups,
permissions
User Data
Database 1
• Table A
• Table B
Database 2
• Table X
• Table Y
• Table Z
© 2014 IBM Corporation
IBM PureData for Analytics powered by Netezza – Backup Options
8
Network Configuration using SAN or LAN as Backup Network
Metadata
• Host Catalog
• Global users,
groups,
permissions
User Data
Database 1
• Table A
• Table B
Database 2
• Table X
• Table Y
• Table Z
User
Network
• nzhostbackup
• nzbackup -users
• nzbackup –db
• (up to 16
multiple streams)
• CREATE
EXTERNAL
TABLE
• nz_backup script
for larger databases
External storage
device
Backup
Network
© 2014 IBM Corporation
IBM PureData for Analytics powered by Netezza – Backup Options
9
Proof-of-Concept (PoC) Configuration
Storwize V7000 Unified comprising
– Two file modules (2073-700)
– One V7000 control enclosure (2076-324)
– Code level 1.4.0.1
File modules connected via 4 x 10 Gbit interfaces
24 x 600 GB 10K SAS drives installed in V7000 control enclosure
Test database:
© 2014 IBM Corporation
IBM PureData for Analytics powered by Netezza – Backup Options
10
Test Conclusion / Best Practices
4 NSD 8 NSD 20
NSD
2 NSD 10
NSD
3 NSD 6 NSD 8 NSD
4 x RAID-5 4+P 2 x RAID-5 8+P 3 x RAID-10 4+4
0
50
100
150
200
250
300
350
400
450
500
MB/sec
* ~1.7 TB/h compressed data
Matching the GPFS block size
to RAID full stripe width is
beneficial
Matching the number of NSDs
to number of RAIDs is beneficial
When matching number of
NSDs to number of RAIDs,
usage of sequential NSDs is
beneficial
Small RAID-5 arrays (4+P) with
the matching number of NSDs
and mdisks (RAIDs) and 2
mount points shows best
performance (multiple streams)
Supports both
nzbackup/nzrestore CLI and
nz_backup/nz_restore scripts
6+ TB/h
uncompressed data *
Focusing on backup performance
– Run multiple backup streams
Focusing on restore performance
– Run single backup stream
© 2014 IBM Corporation
IBM PureData for Analytics powered by Netezza – Backup Options
11
Two Primary Approaches
1. Filesystem Approach
Backup metadata and databases to
external NAS storage devices
Built-in CLI commands included
Scripts for large databases available
2. External Backup Software
Backup metadata and databases to
external backup server/media
User-initiated and Automatic scheduled
backups
Supports disk, tape and virtual tape
storage devices
Metadata
• Host Catalog
• Global users,
groups,
permissions
User Data
Database 1
• Table A
• Table B
Database 2
• Table X
• Table Y
• Table Z
© 2014 IBM Corporation
IBM PureData for Analytics powered by Netezza – Backup Options
12
Network Configuration
Metadata
• Host Catalog
• Global users,
groups,
permissions
User Data
Database 1
• Table A
• Table B
Database 2
• Table X
• Table Y
• Table Z
User
Network
Backup
Network
• nzhostbackup to local file
• transfer to backup server
• Nzbackup –users
• nzbackup –db
• (up to 1000
multiple streams)
• Specify
–connector –connectorArgs
• Create scripts for
automatic schedule
External Backup
server
© 2014 IBM Corporation
IBM PureData for Analytics powered by Netezza – Backup Options
13
External Backup Architecture
Client
code
Backup Server
Master
Catalog
Media
Management
SAN
Storage Hierarchy
•Disk
•Physical Tape
•Virtual Tape
IBM Tivoli Storage Manager (TSM) server
LAN
© 2014 IBM Corporation
IBM PureData for Analytics powered by Netezza – Backup Options
14
External Backup Architecture – TSM Proxy Node
Proxy
node
Backup Server
Master
Catalog
Media
Management
SAN
Storage Hierarchy
•Physical Tape
•Virtual Tape
LAN
Proxy node
• Sends data directly to
physical or virtual tape
over SAN fabric
• Registers copies with
Master Catalog
• Can support multiple
PureData for Analytics
systems
TSM client code sends
backup to Proxy node
TSM server manages
media, tape reclamation,
backup copy pools, etc.
XBSA
code
LAN Free
Storage
agent
© 2014 IBM Corporation
IBM PureData for Analytics powered by Netezza – Backup Options
15
External Backup Architecture – TSM LAN Free
XBSA
code
Backup Server
Master
Catalog
Media
Management
SAN
Storage Hierarchy
•Physical Tape
•Virtual Tape
LAN
TSM client code sends
backups directly to
physical or virtual tape
over SAN fabric
TSM client code registers
backup copies with Master
Catalog
TSM server manages
media, tape reclamation,
backup copy pools, etc.
LAN Free
• Avoids congestion traffic
on LAN by using SAN
directly
• Will consume more CPU
resources on PureData
for Analytics system
LAN Free
Storage
agent
© 2014 IBM Corporation
IBM PureData for Analytics powered by Netezza – Backup Options
16
Summary
1. Use Filesystem Method with SAN or
NAS storage device such as
Storwize V7000 Unified
2. Use IBM Tivoli Storage Manager
server infrastructure to backup
PureData for Analytics systems
© 2014 IBM Corporation
IBM PureData for Analytics powered by Netezza – Backup Options
17
© 2014 IBM Corporation
IBM PureData for Analytics powered by Netezza – Backup Options
18
About the Speaker
Mr. Tony Pearson
Master Inventor,
Senior Managing Consultant
IBM System Storage
Tony Pearson is a Master Inventor and Senior IT storage consultant for the IBM System Storage™ product line.
Tony Pearson joined IBM Corporation in 1986 in Tucson, Arizona, USA, and has lived there ever since. Over the past years, Tony has worked in
development, marketing and customer care positions for various storage hardware and software products.
In his current role, Tony presents briefings on storage topics covering the entire System Storage product line, as well as various storage software
products. He interacts with clients, speaks at conferences and events, and leads workshops to help clients with strategic planning for IBM’s integrated
set of storage management software, hardware, and virtualization products.
Tony writes the “Inside System Storage” blog, which is read by hundreds of clients, IBM sales reps and IBM Business Partners every week. This blog
was rated one of the top 10 blogs of 2006 for the IT storage industry by “Networking World” magazine. The blog was published in book form as Inside
System Storage: Volume I and Volume II , both available from Lulu publishing.
Tony has a Bachelor of Science degree in Software Engineering, and a Master of Science degree in Electrical Engineering, both from the University
of Arizona. Tony holds 19 IBM patents for inventions on storage hardware and software products.
9000 S. Rita Road
Bldg 9070 Mail 9070
Tucson, AZ 85744
+1 520-799-4309 (Office)
tpearson@us.ibm.com
Tony Pearson
Master Inventor,
Senior Managing
Consultant
IBM System Storage™
© 2014 IBM Corporation
IBM PureData for Analytics powered by Netezza – Backup Options
19
Additional Resources
19
Email:
tpearson@us.ibm.com
Twitter:
http://twitter.com/az99Øtony
Blog:
http://ibm.co/brAeZØ
Books:
http://www.lulu.com/spotlight/99Ø_tony
IBM Expert Network:
http://www.slideshare.net/az99Øtony
19
© 2014 IBM Corporation
IBM PureData for Analytics powered by Netezza – Backup Options
20
Trademarks and disclaimers
© IBM Corporation 2011. All rights reserved.
References in this document to IBM products or services do not imply that IBM intends to make them available in every country.
Adobe, the Adobe logo, PostScript, and the PostScript logo are either registered trademarks or trademarks of Adobe Systems Incorporated in the United States, and/or other countries. IT
Infrastructure Library is a registered trademark of the Central Computer and Telecommunications Agency which is now part of the Office of Government Commerce. Intel, Intel logo, Intel
Inside, Intel Inside logo, Intel Centrino, Intel Centrino logo, Celeron, Intel Xeon, Intel SpeedStep, Itanium, and Pentium are trademarks or registered trademarks of Intel Corporation or its
subsidiaries in the United States and other countries. Linux is a registered trademark of Linus Torvalds in the United States, other countries, or both. Microsoft, Windows, Windows NT, and
the Windows logo are trademarks of Microsoft Corporation in the United States, other countries, or both. ITIL is a registered trademark, and a registered community trademark of the Office
of Government Commerce, and is registered in the U.S. Patent and Trademark Office. UNIX is a registered trademark of The Open Group in the United States and other countries. Java
and all Java-based trademarks and logos are trademarks or registered trademarks of Oracle and/or its affiliates. Cell Broadband Engine is a trademark of Sony Computer Entertainment,
Inc. in the United States, other countries, or both and is used under license therefrom. Linear Tape-Open, LTO, the LTO Logo, Ultrium, and the Ultrium logo are trademarks of HP, IBM
Corp. and Quantum in the U.S. and other countries.
Other product and service names might be trademarks of IBM or other companies. Information is provided "AS IS" without warranty of any kind.
The customer examples described are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual environmental costs and
performance characteristics may vary by customer.
Information concerning non-IBM products was obtained from a supplier of these products, published announcement material, or other publicly available sources and does not constitute an
endorsement of such products by IBM. Sources for non-IBM list prices and performance numbers are taken from publicly available information, including vendor announcements and
vendor worldwide homepages. IBM has not tested these products and cannot confirm the accuracy of performance, capability, or any other claims related to non-IBM products. Questions
on the capability of non-IBM products should be addressed to the supplier of those products.
All statements regarding IBM future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.
Some information addresses anticipated future capabilities. Such information is not intended as a definitive statement of a commitment to specific levels of performance, function or delivery
schedules with respect to any future products. Such commitments are only made in IBM product announcements. The information is presented here to communicate IBM's current
investment and development activities as a good faith effort to help with our customers' future planning.
Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience
will vary depending upon considerations such as the amount of multiprogramming in the user's job stream, the I/O configuration, the storage configuration, and the workload processed.
Therefore, no assurance can be given that an individual user will achieve throughput or performance improvements equivalent to the ratios stated here.
Prices are suggested U.S. list prices and are subject to change without notice. Starting price may not include a hard drive, operating system or other features. Contact your IBM
representative or Business Partner for the most current pricing in your geography.
Photographs shown may be engineering prototypes. Changes may be incorporated in production models.
Trademarks of International Business Machines Corporation in the United States, other countries, or both can be found on the
World Wide Web at http://www.ibm.com/legal/copytrade.shtml.
ZSP03490-USEN-00

Weitere ähnliche Inhalte

Was ist angesagt?

HPE SimpliVity
HPE SimpliVityHPE SimpliVity
HPE SimpliVityThura Kyaw
 
Highly efficient backups with percona xtrabackup
Highly efficient backups with percona xtrabackupHighly efficient backups with percona xtrabackup
Highly efficient backups with percona xtrabackupNilnandan Joshi
 
MariaDB MaxScale
MariaDB MaxScaleMariaDB MaxScale
MariaDB MaxScaleMariaDB plc
 
Learn Oracle WebLogic Server 12c Administration
Learn Oracle WebLogic Server 12c AdministrationLearn Oracle WebLogic Server 12c Administration
Learn Oracle WebLogic Server 12c AdministrationRevelation Technologies
 
MySQL InnoDB Cluster HA Overview & Demo
MySQL InnoDB Cluster HA Overview & DemoMySQL InnoDB Cluster HA Overview & Demo
MySQL InnoDB Cluster HA Overview & DemoKeith Hollman
 
VMware Site Recovery Manager
VMware Site Recovery ManagerVMware Site Recovery Manager
VMware Site Recovery ManagerJürgen Ambrosi
 
Percona Live 2022 - MySQL Architectures
Percona Live 2022 - MySQL ArchitecturesPercona Live 2022 - MySQL Architectures
Percona Live 2022 - MySQL ArchitecturesFrederic Descamps
 
MySQL High Availability and Disaster Recovery with Continuent, a VMware company
MySQL High Availability and Disaster Recovery with Continuent, a VMware companyMySQL High Availability and Disaster Recovery with Continuent, a VMware company
MySQL High Availability and Disaster Recovery with Continuent, a VMware companyContinuent
 
Pegasus: Designing a Distributed Key Value System (Arch summit beijing-2016)
Pegasus: Designing a Distributed Key Value System (Arch summit beijing-2016)Pegasus: Designing a Distributed Key Value System (Arch summit beijing-2016)
Pegasus: Designing a Distributed Key Value System (Arch summit beijing-2016)涛 吴
 
1.mysql disk io 모니터링 및 분석사례
1.mysql disk io 모니터링 및 분석사례1.mysql disk io 모니터링 및 분석사례
1.mysql disk io 모니터링 및 분석사례I Goo Lee
 
MySQL_MariaDB로의_전환_기술요소-202212.pptx
MySQL_MariaDB로의_전환_기술요소-202212.pptxMySQL_MariaDB로의_전환_기술요소-202212.pptx
MySQL_MariaDB로의_전환_기술요소-202212.pptxNeoClova
 
Oracle Active Data Guard 12c: Far Sync Instance, Real-Time Cascade and Other ...
Oracle Active Data Guard 12c: Far Sync Instance, Real-Time Cascade and Other ...Oracle Active Data Guard 12c: Far Sync Instance, Real-Time Cascade and Other ...
Oracle Active Data Guard 12c: Far Sync Instance, Real-Time Cascade and Other ...Ludovico Caldara
 
MySQL Failover and Orchestrator
MySQL Failover and OrchestratorMySQL Failover and Orchestrator
MySQL Failover and OrchestratorSimon J Mudd
 
MariaDB 마이그레이션 - 네오클로바
MariaDB 마이그레이션 - 네오클로바MariaDB 마이그레이션 - 네오클로바
MariaDB 마이그레이션 - 네오클로바NeoClova
 
Upgrade to MySQL 8.0!
Upgrade to MySQL 8.0!Upgrade to MySQL 8.0!
Upgrade to MySQL 8.0!Ted Wennmark
 
Ceph RBD Update - June 2021
Ceph RBD Update - June 2021Ceph RBD Update - June 2021
Ceph RBD Update - June 2021Ceph Community
 
Whamcloud - Lustre for HPC and Ai
Whamcloud - Lustre for HPC and AiWhamcloud - Lustre for HPC and Ai
Whamcloud - Lustre for HPC and Aiinside-BigData.com
 

Was ist angesagt? (20)

HPE SimpliVity
HPE SimpliVityHPE SimpliVity
HPE SimpliVity
 
Highly efficient backups with percona xtrabackup
Highly efficient backups with percona xtrabackupHighly efficient backups with percona xtrabackup
Highly efficient backups with percona xtrabackup
 
Apache ZooKeeper
Apache ZooKeeperApache ZooKeeper
Apache ZooKeeper
 
MariaDB MaxScale
MariaDB MaxScaleMariaDB MaxScale
MariaDB MaxScale
 
Learn Oracle WebLogic Server 12c Administration
Learn Oracle WebLogic Server 12c AdministrationLearn Oracle WebLogic Server 12c Administration
Learn Oracle WebLogic Server 12c Administration
 
MySQL InnoDB Cluster HA Overview & Demo
MySQL InnoDB Cluster HA Overview & DemoMySQL InnoDB Cluster HA Overview & Demo
MySQL InnoDB Cluster HA Overview & Demo
 
VMware Site Recovery Manager
VMware Site Recovery ManagerVMware Site Recovery Manager
VMware Site Recovery Manager
 
Percona Live 2022 - MySQL Architectures
Percona Live 2022 - MySQL ArchitecturesPercona Live 2022 - MySQL Architectures
Percona Live 2022 - MySQL Architectures
 
MySQL High Availability and Disaster Recovery with Continuent, a VMware company
MySQL High Availability and Disaster Recovery with Continuent, a VMware companyMySQL High Availability and Disaster Recovery with Continuent, a VMware company
MySQL High Availability and Disaster Recovery with Continuent, a VMware company
 
Pegasus: Designing a Distributed Key Value System (Arch summit beijing-2016)
Pegasus: Designing a Distributed Key Value System (Arch summit beijing-2016)Pegasus: Designing a Distributed Key Value System (Arch summit beijing-2016)
Pegasus: Designing a Distributed Key Value System (Arch summit beijing-2016)
 
1.mysql disk io 모니터링 및 분석사례
1.mysql disk io 모니터링 및 분석사례1.mysql disk io 모니터링 및 분석사례
1.mysql disk io 모니터링 및 분석사례
 
MySQL_MariaDB로의_전환_기술요소-202212.pptx
MySQL_MariaDB로의_전환_기술요소-202212.pptxMySQL_MariaDB로의_전환_기술요소-202212.pptx
MySQL_MariaDB로의_전환_기술요소-202212.pptx
 
OpenStack HA
OpenStack HAOpenStack HA
OpenStack HA
 
Oracle Active Data Guard 12c: Far Sync Instance, Real-Time Cascade and Other ...
Oracle Active Data Guard 12c: Far Sync Instance, Real-Time Cascade and Other ...Oracle Active Data Guard 12c: Far Sync Instance, Real-Time Cascade and Other ...
Oracle Active Data Guard 12c: Far Sync Instance, Real-Time Cascade and Other ...
 
MySQL Failover and Orchestrator
MySQL Failover and OrchestratorMySQL Failover and Orchestrator
MySQL Failover and Orchestrator
 
Backup Exec 21
Backup Exec 21Backup Exec 21
Backup Exec 21
 
MariaDB 마이그레이션 - 네오클로바
MariaDB 마이그레이션 - 네오클로바MariaDB 마이그레이션 - 네오클로바
MariaDB 마이그레이션 - 네오클로바
 
Upgrade to MySQL 8.0!
Upgrade to MySQL 8.0!Upgrade to MySQL 8.0!
Upgrade to MySQL 8.0!
 
Ceph RBD Update - June 2021
Ceph RBD Update - June 2021Ceph RBD Update - June 2021
Ceph RBD Update - June 2021
 
Whamcloud - Lustre for HPC and Ai
Whamcloud - Lustre for HPC and AiWhamcloud - Lustre for HPC and Ai
Whamcloud - Lustre for HPC and Ai
 

Andere mochten auch

Backup netezza-tsm-v1403c-140330170451-phpapp01
Backup netezza-tsm-v1403c-140330170451-phpapp01Backup netezza-tsm-v1403c-140330170451-phpapp01
Backup netezza-tsm-v1403c-140330170451-phpapp01Arunkumar Shanmugam
 
Infographic OpenStack - Deployment Tools
Infographic OpenStack - Deployment ToolsInfographic OpenStack - Deployment Tools
Infographic OpenStack - Deployment ToolsStratoscale
 
Tony blogging-tips-itso30-v1310e
Tony blogging-tips-itso30-v1310eTony blogging-tips-itso30-v1310e
Tony blogging-tips-itso30-v1310eTony Pearson
 
IBM Solid State in eX5 servers
IBM Solid State in eX5 serversIBM Solid State in eX5 servers
IBM Solid State in eX5 serversTony Pearson
 
IBM's Pure and Flexible Integrated Solution
IBM's Pure and Flexible Integrated SolutionIBM's Pure and Flexible Integrated Solution
IBM's Pure and Flexible Integrated SolutionTony Pearson
 
SAP HANA Runs Better, Faster, Stronger on IBM Power
SAP HANA Runs Better, Faster, Stronger on IBM PowerSAP HANA Runs Better, Faster, Stronger on IBM Power
SAP HANA Runs Better, Faster, Stronger on IBM PowerDynamix
 
Complete dd ex5
Complete dd ex5Complete dd ex5
Complete dd ex5s1170131
 
S de0882 new-generation-tiering-edge2015-v3
S de0882 new-generation-tiering-edge2015-v3S de0882 new-generation-tiering-edge2015-v3
S de0882 new-generation-tiering-edge2015-v3Tony Pearson
 
How To Build A Scalable Storage System with OSS at TLUG Meeting 2008/09/13
How To Build A Scalable Storage System with OSS at TLUG Meeting 2008/09/13How To Build A Scalable Storage System with OSS at TLUG Meeting 2008/09/13
How To Build A Scalable Storage System with OSS at TLUG Meeting 2008/09/13Gosuke Miyashita
 
S cv3179 spectrum-integration-openstack-edge2015-v5
S cv3179 spectrum-integration-openstack-edge2015-v5S cv3179 spectrum-integration-openstack-edge2015-v5
S cv3179 spectrum-integration-openstack-edge2015-v5Tony Pearson
 
The Pendulum Swings Back: Converged and Hyperconverged Environments
The Pendulum Swings Back: Converged and Hyperconverged EnvironmentsThe Pendulum Swings Back: Converged and Hyperconverged Environments
The Pendulum Swings Back: Converged and Hyperconverged EnvironmentsTony Pearson
 
Choosing the Right Storage for your Server Virtualization Environment
Choosing the Right Storage for your Server Virtualization EnvironmentChoosing the Right Storage for your Server Virtualization Environment
Choosing the Right Storage for your Server Virtualization EnvironmentTony Pearson
 
S ss0885 spectrum-scale-elastic-edge2015-v5
S ss0885 spectrum-scale-elastic-edge2015-v5S ss0885 spectrum-scale-elastic-edge2015-v5
S ss0885 spectrum-scale-elastic-edge2015-v5Tony Pearson
 
IBM's Cloud Storage Options
IBM's Cloud Storage OptionsIBM's Cloud Storage Options
IBM's Cloud Storage OptionsTony Pearson
 
Has Your Data Gone Rogue?
Has Your Data Gone Rogue?Has Your Data Gone Rogue?
Has Your Data Gone Rogue?Tony Pearson
 

Andere mochten auch (20)

Backup netezza-tsm-v1403c-140330170451-phpapp01
Backup netezza-tsm-v1403c-140330170451-phpapp01Backup netezza-tsm-v1403c-140330170451-phpapp01
Backup netezza-tsm-v1403c-140330170451-phpapp01
 
Planetas
PlanetasPlanetas
Planetas
 
Infographic OpenStack - Deployment Tools
Infographic OpenStack - Deployment ToolsInfographic OpenStack - Deployment Tools
Infographic OpenStack - Deployment Tools
 
Tony blogging-tips-itso30-v1310e
Tony blogging-tips-itso30-v1310eTony blogging-tips-itso30-v1310e
Tony blogging-tips-itso30-v1310e
 
IBM Solid State in eX5 servers
IBM Solid State in eX5 serversIBM Solid State in eX5 servers
IBM Solid State in eX5 servers
 
IBM's Pure and Flexible Integrated Solution
IBM's Pure and Flexible Integrated SolutionIBM's Pure and Flexible Integrated Solution
IBM's Pure and Flexible Integrated Solution
 
Delitos cibernéticos
Delitos cibernéticosDelitos cibernéticos
Delitos cibernéticos
 
SAP HANA Runs Better, Faster, Stronger on IBM Power
SAP HANA Runs Better, Faster, Stronger on IBM PowerSAP HANA Runs Better, Faster, Stronger on IBM Power
SAP HANA Runs Better, Faster, Stronger on IBM Power
 
Complete dd ex5
Complete dd ex5Complete dd ex5
Complete dd ex5
 
S de0882 new-generation-tiering-edge2015-v3
S de0882 new-generation-tiering-edge2015-v3S de0882 new-generation-tiering-edge2015-v3
S de0882 new-generation-tiering-edge2015-v3
 
How To Build A Scalable Storage System with OSS at TLUG Meeting 2008/09/13
How To Build A Scalable Storage System with OSS at TLUG Meeting 2008/09/13How To Build A Scalable Storage System with OSS at TLUG Meeting 2008/09/13
How To Build A Scalable Storage System with OSS at TLUG Meeting 2008/09/13
 
S cv3179 spectrum-integration-openstack-edge2015-v5
S cv3179 spectrum-integration-openstack-edge2015-v5S cv3179 spectrum-integration-openstack-edge2015-v5
S cv3179 spectrum-integration-openstack-edge2015-v5
 
The Pendulum Swings Back: Converged and Hyperconverged Environments
The Pendulum Swings Back: Converged and Hyperconverged EnvironmentsThe Pendulum Swings Back: Converged and Hyperconverged Environments
The Pendulum Swings Back: Converged and Hyperconverged Environments
 
Sg248107 Implementing the IBM Storwize V3700
Sg248107 Implementing the IBM Storwize V3700Sg248107 Implementing the IBM Storwize V3700
Sg248107 Implementing the IBM Storwize V3700
 
Choosing the Right Storage for your Server Virtualization Environment
Choosing the Right Storage for your Server Virtualization EnvironmentChoosing the Right Storage for your Server Virtualization Environment
Choosing the Right Storage for your Server Virtualization Environment
 
S ss0885 spectrum-scale-elastic-edge2015-v5
S ss0885 spectrum-scale-elastic-edge2015-v5S ss0885 spectrum-scale-elastic-edge2015-v5
S ss0885 spectrum-scale-elastic-edge2015-v5
 
Clever safe
Clever safe   Clever safe
Clever safe
 
IBM's Cloud Storage Options
IBM's Cloud Storage OptionsIBM's Cloud Storage Options
IBM's Cloud Storage Options
 
Has Your Data Gone Rogue?
Has Your Data Gone Rogue?Has Your Data Gone Rogue?
Has Your Data Gone Rogue?
 
Cleversafe.PPTX
Cleversafe.PPTXCleversafe.PPTX
Cleversafe.PPTX
 

Ähnlich wie Backup Options for IBM PureData for Analytics powered by Netezza

Ibm spectrum scale_backup_n_archive_v03_ash
Ibm spectrum scale_backup_n_archive_v03_ashIbm spectrum scale_backup_n_archive_v03_ash
Ibm spectrum scale_backup_n_archive_v03_ashAshutosh Mate
 
Pros_and_Cons_of_DW_Apps pdf.pdf
Pros_and_Cons_of_DW_Apps pdf.pdfPros_and_Cons_of_DW_Apps pdf.pdf
Pros_and_Cons_of_DW_Apps pdf.pdfHernanKlint
 
Huawei Symantec Oceanspace N8000 clustered NAS Overview
Huawei Symantec Oceanspace N8000 clustered NAS OverviewHuawei Symantec Oceanspace N8000 clustered NAS Overview
Huawei Symantec Oceanspace N8000 clustered NAS OverviewUtopia Media
 
Elastic storage in the cloud session 5224 final v2
Elastic storage in the cloud session 5224 final v2Elastic storage in the cloud session 5224 final v2
Elastic storage in the cloud session 5224 final v2BradDesAulniers2
 
Spectrum Scale final
Spectrum Scale finalSpectrum Scale final
Spectrum Scale finalJoe Krotz
 
Gestione gerarchica dei dati con SUSE Enterprise Storage e HPE DMF
Gestione gerarchica dei dati con SUSE Enterprise Storage e HPE DMFGestione gerarchica dei dati con SUSE Enterprise Storage e HPE DMF
Gestione gerarchica dei dati con SUSE Enterprise Storage e HPE DMFSUSE Italy
 
IBM Platform Computing Elastic Storage
IBM Platform Computing  Elastic StorageIBM Platform Computing  Elastic Storage
IBM Platform Computing Elastic StoragePatrick Bouillaud
 
Hadoop File system (HDFS)
Hadoop File system (HDFS)Hadoop File system (HDFS)
Hadoop File system (HDFS)Prashant Gupta
 
Hadoop operations-2015-hadoop-summit-san-jose-v5
Hadoop operations-2015-hadoop-summit-san-jose-v5Hadoop operations-2015-hadoop-summit-san-jose-v5
Hadoop operations-2015-hadoop-summit-san-jose-v5Chris Nauroth
 
Hadoop Operations - Best Practices from the Field
Hadoop Operations - Best Practices from the FieldHadoop Operations - Best Practices from the Field
Hadoop Operations - Best Practices from the FieldDataWorks Summit
 
DDN: Massively-Scalable Platforms and Solutions Engineered for the Big Data a...
DDN: Massively-Scalable Platforms and Solutions Engineered for the Big Data a...DDN: Massively-Scalable Platforms and Solutions Engineered for the Big Data a...
DDN: Massively-Scalable Platforms and Solutions Engineered for the Big Data a...inside-BigData.com
 
Webinar NETGEAR - Acronis e Netgear le Best Practices per la protezione di si...
Webinar NETGEAR - Acronis e Netgear le Best Practices per la protezione di si...Webinar NETGEAR - Acronis e Netgear le Best Practices per la protezione di si...
Webinar NETGEAR - Acronis e Netgear le Best Practices per la protezione di si...Netgear Italia
 
Lessons learned processing 70 billion data points a day using the hybrid cloud
Lessons learned processing 70 billion data points a day using the hybrid cloudLessons learned processing 70 billion data points a day using the hybrid cloud
Lessons learned processing 70 billion data points a day using the hybrid cloudDataWorks Summit
 
Webinar: How Snapshots CAN be Backups
Webinar: How Snapshots CAN be BackupsWebinar: How Snapshots CAN be Backups
Webinar: How Snapshots CAN be BackupsStorage Switzerland
 
Oracle real application_cluster
Oracle real application_clusterOracle real application_cluster
Oracle real application_clusterPrabhat gangwar
 
Four Assumptions Killing Backup Storage Webinar
Four Assumptions Killing Backup Storage WebinarFour Assumptions Killing Backup Storage Webinar
Four Assumptions Killing Backup Storage WebinarStorage Switzerland
 

Ähnlich wie Backup Options for IBM PureData for Analytics powered by Netezza (20)

Backups.pptx
Backups.pptxBackups.pptx
Backups.pptx
 
Ibm spectrum scale_backup_n_archive_v03_ash
Ibm spectrum scale_backup_n_archive_v03_ashIbm spectrum scale_backup_n_archive_v03_ash
Ibm spectrum scale_backup_n_archive_v03_ash
 
Pros_and_Cons_of_DW_Apps pdf.pdf
Pros_and_Cons_of_DW_Apps pdf.pdfPros_and_Cons_of_DW_Apps pdf.pdf
Pros_and_Cons_of_DW_Apps pdf.pdf
 
Huawei Symantec Oceanspace N8000 clustered NAS Overview
Huawei Symantec Oceanspace N8000 clustered NAS OverviewHuawei Symantec Oceanspace N8000 clustered NAS Overview
Huawei Symantec Oceanspace N8000 clustered NAS Overview
 
Elastic storage in the cloud session 5224 final v2
Elastic storage in the cloud session 5224 final v2Elastic storage in the cloud session 5224 final v2
Elastic storage in the cloud session 5224 final v2
 
Spectrum Scale final
Spectrum Scale finalSpectrum Scale final
Spectrum Scale final
 
Gestione gerarchica dei dati con SUSE Enterprise Storage e HPE DMF
Gestione gerarchica dei dati con SUSE Enterprise Storage e HPE DMFGestione gerarchica dei dati con SUSE Enterprise Storage e HPE DMF
Gestione gerarchica dei dati con SUSE Enterprise Storage e HPE DMF
 
IBM Platform Computing Elastic Storage
IBM Platform Computing  Elastic StorageIBM Platform Computing  Elastic Storage
IBM Platform Computing Elastic Storage
 
Hadoop File system (HDFS)
Hadoop File system (HDFS)Hadoop File system (HDFS)
Hadoop File system (HDFS)
 
Hadoop operations-2015-hadoop-summit-san-jose-v5
Hadoop operations-2015-hadoop-summit-san-jose-v5Hadoop operations-2015-hadoop-summit-san-jose-v5
Hadoop operations-2015-hadoop-summit-san-jose-v5
 
Hadoop Operations - Best Practices from the Field
Hadoop Operations - Best Practices from the FieldHadoop Operations - Best Practices from the Field
Hadoop Operations - Best Practices from the Field
 
DDN: Massively-Scalable Platforms and Solutions Engineered for the Big Data a...
DDN: Massively-Scalable Platforms and Solutions Engineered for the Big Data a...DDN: Massively-Scalable Platforms and Solutions Engineered for the Big Data a...
DDN: Massively-Scalable Platforms and Solutions Engineered for the Big Data a...
 
Webinar NETGEAR - Acronis e Netgear le Best Practices per la protezione di si...
Webinar NETGEAR - Acronis e Netgear le Best Practices per la protezione di si...Webinar NETGEAR - Acronis e Netgear le Best Practices per la protezione di si...
Webinar NETGEAR - Acronis e Netgear le Best Practices per la protezione di si...
 
Lessons learned processing 70 billion data points a day using the hybrid cloud
Lessons learned processing 70 billion data points a day using the hybrid cloudLessons learned processing 70 billion data points a day using the hybrid cloud
Lessons learned processing 70 billion data points a day using the hybrid cloud
 
Introduction
IntroductionIntroduction
Introduction
 
Webinar: How Snapshots CAN be Backups
Webinar: How Snapshots CAN be BackupsWebinar: How Snapshots CAN be Backups
Webinar: How Snapshots CAN be Backups
 
Oracle real application_cluster
Oracle real application_clusterOracle real application_cluster
Oracle real application_cluster
 
Four Assumptions Killing Backup Storage Webinar
Four Assumptions Killing Backup Storage WebinarFour Assumptions Killing Backup Storage Webinar
Four Assumptions Killing Backup Storage Webinar
 
Surveon Powerful Data Backup Solutions
Surveon Powerful Data Backup SolutionsSurveon Powerful Data Backup Solutions
Surveon Powerful Data Backup Solutions
 
Netezza pure data
Netezza pure dataNetezza pure data
Netezza pure data
 

Mehr von Tony Pearson

Rapid_Recovery-T75-v2204j.pdf
Rapid_Recovery-T75-v2204j.pdfRapid_Recovery-T75-v2204j.pdf
Rapid_Recovery-T75-v2204j.pdfTony Pearson
 
L203326 intro-maria db-techu2020-v9
L203326 intro-maria db-techu2020-v9L203326 intro-maria db-techu2020-v9
L203326 intro-maria db-techu2020-v9Tony Pearson
 
S200743 storage-announcements-ist2020-v2001a
S200743 storage-announcements-ist2020-v2001aS200743 storage-announcements-ist2020-v2001a
S200743 storage-announcements-ist2020-v2001aTony Pearson
 
S200516 copy-data-management-ist2020-v2001c
S200516 copy-data-management-ist2020-v2001cS200516 copy-data-management-ist2020-v2001c
S200516 copy-data-management-ist2020-v2001cTony Pearson
 
S200515 storage-insights-ist2020-v2001d
S200515 storage-insights-ist2020-v2001dS200515 storage-insights-ist2020-v2001d
S200515 storage-insights-ist2020-v2001dTony Pearson
 
F200612 deliver-message-ist2020-v2001c
F200612 deliver-message-ist2020-v2001cF200612 deliver-message-ist2020-v2001c
F200612 deliver-message-ist2020-v2001cTony Pearson
 
Z111806 strengthen-security-sydney-v1910a
Z111806 strengthen-security-sydney-v1910aZ111806 strengthen-security-sydney-v1910a
Z111806 strengthen-security-sydney-v1910aTony Pearson
 
G111614 top-trends-sydney2019-v1910a
G111614 top-trends-sydney2019-v1910aG111614 top-trends-sydney2019-v1910a
G111614 top-trends-sydney2019-v1910aTony Pearson
 
G111416 personal-brand-sydney-v1910b
G111416 personal-brand-sydney-v1910bG111416 personal-brand-sydney-v1910b
G111416 personal-brand-sydney-v1910bTony Pearson
 
Z109889 z4 r-storage-dfsms-vegas-v1910b
Z109889 z4 r-storage-dfsms-vegas-v1910bZ109889 z4 r-storage-dfsms-vegas-v1910b
Z109889 z4 r-storage-dfsms-vegas-v1910bTony Pearson
 
Z110932 strengthen-security-jburg-v1909c
Z110932 strengthen-security-jburg-v1909cZ110932 strengthen-security-jburg-v1909c
Z110932 strengthen-security-jburg-v1909cTony Pearson
 
Z109889 z4 r-storage-dfsms-jburg-v1909d
Z109889 z4 r-storage-dfsms-jburg-v1909dZ109889 z4 r-storage-dfsms-jburg-v1909d
Z109889 z4 r-storage-dfsms-jburg-v1909dTony Pearson
 
S111477 scale-in-cloud-jburg-v1909d
S111477 scale-in-cloud-jburg-v1909dS111477 scale-in-cloud-jburg-v1909d
S111477 scale-in-cloud-jburg-v1909dTony Pearson
 
S110646 storage-for-ai-jburg-v1909c
S110646 storage-for-ai-jburg-v1909cS110646 storage-for-ai-jburg-v1909c
S110646 storage-for-ai-jburg-v1909cTony Pearson
 
G108263 personal-brand-berlin-v1904a
G108263 personal-brand-berlin-v1904aG108263 personal-brand-berlin-v1904a
G108263 personal-brand-berlin-v1904aTony Pearson
 
S108283 svc-storwize-lagos-v1905d
S108283 svc-storwize-lagos-v1905dS108283 svc-storwize-lagos-v1905d
S108283 svc-storwize-lagos-v1905dTony Pearson
 
G108277 ds8000-resiliency-lagos-v1905c
G108277 ds8000-resiliency-lagos-v1905cG108277 ds8000-resiliency-lagos-v1905c
G108277 ds8000-resiliency-lagos-v1905cTony Pearson
 
G108276 public-speaking-lagos-v1905b
G108276 public-speaking-lagos-v1905bG108276 public-speaking-lagos-v1905b
G108276 public-speaking-lagos-v1905bTony Pearson
 
G108266 stack-the-deck-lagos-v1905c
G108266 stack-the-deck-lagos-v1905cG108266 stack-the-deck-lagos-v1905c
G108266 stack-the-deck-lagos-v1905cTony Pearson
 
G107984 personal-brand-atlanta-v1904a
G107984 personal-brand-atlanta-v1904aG107984 personal-brand-atlanta-v1904a
G107984 personal-brand-atlanta-v1904aTony Pearson
 

Mehr von Tony Pearson (20)

Rapid_Recovery-T75-v2204j.pdf
Rapid_Recovery-T75-v2204j.pdfRapid_Recovery-T75-v2204j.pdf
Rapid_Recovery-T75-v2204j.pdf
 
L203326 intro-maria db-techu2020-v9
L203326 intro-maria db-techu2020-v9L203326 intro-maria db-techu2020-v9
L203326 intro-maria db-techu2020-v9
 
S200743 storage-announcements-ist2020-v2001a
S200743 storage-announcements-ist2020-v2001aS200743 storage-announcements-ist2020-v2001a
S200743 storage-announcements-ist2020-v2001a
 
S200516 copy-data-management-ist2020-v2001c
S200516 copy-data-management-ist2020-v2001cS200516 copy-data-management-ist2020-v2001c
S200516 copy-data-management-ist2020-v2001c
 
S200515 storage-insights-ist2020-v2001d
S200515 storage-insights-ist2020-v2001dS200515 storage-insights-ist2020-v2001d
S200515 storage-insights-ist2020-v2001d
 
F200612 deliver-message-ist2020-v2001c
F200612 deliver-message-ist2020-v2001cF200612 deliver-message-ist2020-v2001c
F200612 deliver-message-ist2020-v2001c
 
Z111806 strengthen-security-sydney-v1910a
Z111806 strengthen-security-sydney-v1910aZ111806 strengthen-security-sydney-v1910a
Z111806 strengthen-security-sydney-v1910a
 
G111614 top-trends-sydney2019-v1910a
G111614 top-trends-sydney2019-v1910aG111614 top-trends-sydney2019-v1910a
G111614 top-trends-sydney2019-v1910a
 
G111416 personal-brand-sydney-v1910b
G111416 personal-brand-sydney-v1910bG111416 personal-brand-sydney-v1910b
G111416 personal-brand-sydney-v1910b
 
Z109889 z4 r-storage-dfsms-vegas-v1910b
Z109889 z4 r-storage-dfsms-vegas-v1910bZ109889 z4 r-storage-dfsms-vegas-v1910b
Z109889 z4 r-storage-dfsms-vegas-v1910b
 
Z110932 strengthen-security-jburg-v1909c
Z110932 strengthen-security-jburg-v1909cZ110932 strengthen-security-jburg-v1909c
Z110932 strengthen-security-jburg-v1909c
 
Z109889 z4 r-storage-dfsms-jburg-v1909d
Z109889 z4 r-storage-dfsms-jburg-v1909dZ109889 z4 r-storage-dfsms-jburg-v1909d
Z109889 z4 r-storage-dfsms-jburg-v1909d
 
S111477 scale-in-cloud-jburg-v1909d
S111477 scale-in-cloud-jburg-v1909dS111477 scale-in-cloud-jburg-v1909d
S111477 scale-in-cloud-jburg-v1909d
 
S110646 storage-for-ai-jburg-v1909c
S110646 storage-for-ai-jburg-v1909cS110646 storage-for-ai-jburg-v1909c
S110646 storage-for-ai-jburg-v1909c
 
G108263 personal-brand-berlin-v1904a
G108263 personal-brand-berlin-v1904aG108263 personal-brand-berlin-v1904a
G108263 personal-brand-berlin-v1904a
 
S108283 svc-storwize-lagos-v1905d
S108283 svc-storwize-lagos-v1905dS108283 svc-storwize-lagos-v1905d
S108283 svc-storwize-lagos-v1905d
 
G108277 ds8000-resiliency-lagos-v1905c
G108277 ds8000-resiliency-lagos-v1905cG108277 ds8000-resiliency-lagos-v1905c
G108277 ds8000-resiliency-lagos-v1905c
 
G108276 public-speaking-lagos-v1905b
G108276 public-speaking-lagos-v1905bG108276 public-speaking-lagos-v1905b
G108276 public-speaking-lagos-v1905b
 
G108266 stack-the-deck-lagos-v1905c
G108266 stack-the-deck-lagos-v1905cG108266 stack-the-deck-lagos-v1905c
G108266 stack-the-deck-lagos-v1905c
 
G107984 personal-brand-atlanta-v1904a
G107984 personal-brand-atlanta-v1904aG107984 personal-brand-atlanta-v1904a
G107984 personal-brand-atlanta-v1904a
 

Kürzlich hochgeladen

Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024SynarionITSolutions
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesBoston Institute of Analytics
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?Igalia
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdflior mazor
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobeapidays
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 

Kürzlich hochgeladen (20)

Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation Strategies
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 

Backup Options for IBM PureData for Analytics powered by Netezza

  • 1. © 2014 IBM Corporation Backup Options IBM PureData™ System for Analytics, powered by Netezza Tony Pearson – IBM Master Inventor and Senior IT Specialist March 2014
  • 2. © 2014 IBM Corporation IBM PureData for Analytics powered by Netezza – Backup Options 2 Part of the IBM Big Data Platform Workload Optimized Solutions for All Your Analytic Needs Analytics & Decision Management Solutions Big Data Infrastructure IBM Big Data Platform Accelerators Information Integration & Governance Visualization & Discovery Application Development Systems Management Stream Computing Hadoop System Data Warehouse PureData System for Analytics
  • 3. © 2014 IBM Corporation IBM PureData for Analytics powered by Netezza – Backup Options 3 3 Spend Less Time Managing and More Time Innovating No dbspace/tablespace sizing and configuration No redo/physical/Logical log sizing and configuration No page/block sizing and configuration for tables No extent sizing and configuration for tables No Temp space allocation and monitoring No RAID level decisions for dbspaces No logical volume creations of files No integration of OS kernel recommendations No maintenance of OS recommended patch levels No JAD sessions to configure host/network/storage No dbspace/tablespace sizing and configuration No redo/physical/Logical log sizing and configuration No page/block sizing and configuration for tables No extent sizing and configuration for tables No Temp space allocation and monitoring No RAID level decisions for dbspaces No logical volume creations of files No integration of OS kernel recommendations No maintenance of OS recommended patch levels No JAD sessions to configure host/network/storage Data Experts, not Database Experts Easy Administration Portal No software installation No indexes and tuning No storage administration IBM’s Advantage--FPGA A Real-Time silicon SQL accelerator Dynamically reprogrammed for each individual query. Eradicates ~95% of system I/O before the CPU ever sees it. Completely unique to PDA. Simplicity and Ease of Administration Simplicity and Ease of Administration
  • 4. © 2014 IBM Corporation IBM PureData for Analytics powered by Netezza – Backup Options 4 PureData System for Analytics Hardware Overview: Model N200x User Data Capacity: 192 TB* Data Scan Speed: 478 TB/hr* Load Speed (per system): 5+ TB/hr Active Data Slices: 96 Power Requirements: 7.5 kW Cooling Requirements: 27,000 BTU/hr * Assuming 4X compression Scales from 1/4 Rack to 4 Racks 2 Hosts (Active-Passive) 2 Intel 2.7 GHz Sandy Bridge CPUs 7x300 GB SAS Drives Red Hat Linux 6 64-bit 7 PureData for Analytics S-Blades™ 2 Intel 8 Core 2+ GHz CPUs 2 8-Engine Xilinx Virtex-6 FPGAs 128 GB RAM + 8 GB slice buffer Linux 64-bit Kernel 12 Disk Enclosures 288 600 GB SAS2 Drives • 240 for User Data • 14 for S-Blades • 34 Spare RAID 1 Mirroring
  • 5. © 2014 IBM Corporation IBM PureData for Analytics powered by Netezza – Backup Options 5 IBM PureData for Analytics – Reasons for Backup IBM will take care of Red Hat Enterprise Linux, Web Admin and other code as needed –No need for you to back it up yourself Firmware • Linux • Code Metadata • Host Catalog • Global users, groups, permissions User Data Database 1 • Table A • Table B Database 2 • Table X • Table Y • Table Z Backup this to protect host configuration from data corruption (rare) Various reasons to backup database schema and contents –As part of firmware upgrade/downgrade –To transfer data to another system –Protect against hardware failure / disaster –Protect against data corruption
  • 6. © 2014 IBM Corporation IBM PureData for Analytics powered by Netezza – Backup Options 6 Compressed versus Text-format Firmware + 1 User Data Database 1 • Table A • Table B Database 2 • Table X • Table Y • Table Z Firmware Firmware -1 Firmware Compressed database backup Compressed external tables Text-format external table Other Database systems Upgrade Downgrade Restore to same or higher firmware Restore to any, but slower, takes up more space
  • 7. © 2014 IBM Corporation IBM PureData for Analytics powered by Netezza – Backup Options 7 Two Primary Approaches 1. Filesystem Approach Backup metadata and databases to external NAS storage devices Built-in CLI commands included Scripts for large databases available 2. External Backup Software Backup metadata and databases to external backup server/media User-initiated and Automatic scheduled backups Supports disk, tape and virtual tape storage devices Metadata • Host Catalog • Global users, groups, permissions User Data Database 1 • Table A • Table B Database 2 • Table X • Table Y • Table Z
  • 8. © 2014 IBM Corporation IBM PureData for Analytics powered by Netezza – Backup Options 8 Network Configuration using SAN or LAN as Backup Network Metadata • Host Catalog • Global users, groups, permissions User Data Database 1 • Table A • Table B Database 2 • Table X • Table Y • Table Z User Network • nzhostbackup • nzbackup -users • nzbackup –db • (up to 16 multiple streams) • CREATE EXTERNAL TABLE • nz_backup script for larger databases External storage device Backup Network
  • 9. © 2014 IBM Corporation IBM PureData for Analytics powered by Netezza – Backup Options 9 Proof-of-Concept (PoC) Configuration Storwize V7000 Unified comprising – Two file modules (2073-700) – One V7000 control enclosure (2076-324) – Code level 1.4.0.1 File modules connected via 4 x 10 Gbit interfaces 24 x 600 GB 10K SAS drives installed in V7000 control enclosure Test database:
  • 10. © 2014 IBM Corporation IBM PureData for Analytics powered by Netezza – Backup Options 10 Test Conclusion / Best Practices 4 NSD 8 NSD 20 NSD 2 NSD 10 NSD 3 NSD 6 NSD 8 NSD 4 x RAID-5 4+P 2 x RAID-5 8+P 3 x RAID-10 4+4 0 50 100 150 200 250 300 350 400 450 500 MB/sec * ~1.7 TB/h compressed data Matching the GPFS block size to RAID full stripe width is beneficial Matching the number of NSDs to number of RAIDs is beneficial When matching number of NSDs to number of RAIDs, usage of sequential NSDs is beneficial Small RAID-5 arrays (4+P) with the matching number of NSDs and mdisks (RAIDs) and 2 mount points shows best performance (multiple streams) Supports both nzbackup/nzrestore CLI and nz_backup/nz_restore scripts 6+ TB/h uncompressed data * Focusing on backup performance – Run multiple backup streams Focusing on restore performance – Run single backup stream
  • 11. © 2014 IBM Corporation IBM PureData for Analytics powered by Netezza – Backup Options 11 Two Primary Approaches 1. Filesystem Approach Backup metadata and databases to external NAS storage devices Built-in CLI commands included Scripts for large databases available 2. External Backup Software Backup metadata and databases to external backup server/media User-initiated and Automatic scheduled backups Supports disk, tape and virtual tape storage devices Metadata • Host Catalog • Global users, groups, permissions User Data Database 1 • Table A • Table B Database 2 • Table X • Table Y • Table Z
  • 12. © 2014 IBM Corporation IBM PureData for Analytics powered by Netezza – Backup Options 12 Network Configuration Metadata • Host Catalog • Global users, groups, permissions User Data Database 1 • Table A • Table B Database 2 • Table X • Table Y • Table Z User Network Backup Network • nzhostbackup to local file • transfer to backup server • Nzbackup –users • nzbackup –db • (up to 1000 multiple streams) • Specify –connector –connectorArgs • Create scripts for automatic schedule External Backup server
  • 13. © 2014 IBM Corporation IBM PureData for Analytics powered by Netezza – Backup Options 13 External Backup Architecture Client code Backup Server Master Catalog Media Management SAN Storage Hierarchy •Disk •Physical Tape •Virtual Tape IBM Tivoli Storage Manager (TSM) server LAN
  • 14. © 2014 IBM Corporation IBM PureData for Analytics powered by Netezza – Backup Options 14 External Backup Architecture – TSM Proxy Node Proxy node Backup Server Master Catalog Media Management SAN Storage Hierarchy •Physical Tape •Virtual Tape LAN Proxy node • Sends data directly to physical or virtual tape over SAN fabric • Registers copies with Master Catalog • Can support multiple PureData for Analytics systems TSM client code sends backup to Proxy node TSM server manages media, tape reclamation, backup copy pools, etc. XBSA code LAN Free Storage agent
  • 15. © 2014 IBM Corporation IBM PureData for Analytics powered by Netezza – Backup Options 15 External Backup Architecture – TSM LAN Free XBSA code Backup Server Master Catalog Media Management SAN Storage Hierarchy •Physical Tape •Virtual Tape LAN TSM client code sends backups directly to physical or virtual tape over SAN fabric TSM client code registers backup copies with Master Catalog TSM server manages media, tape reclamation, backup copy pools, etc. LAN Free • Avoids congestion traffic on LAN by using SAN directly • Will consume more CPU resources on PureData for Analytics system LAN Free Storage agent
  • 16. © 2014 IBM Corporation IBM PureData for Analytics powered by Netezza – Backup Options 16 Summary 1. Use Filesystem Method with SAN or NAS storage device such as Storwize V7000 Unified 2. Use IBM Tivoli Storage Manager server infrastructure to backup PureData for Analytics systems
  • 17. © 2014 IBM Corporation IBM PureData for Analytics powered by Netezza – Backup Options 17
  • 18. © 2014 IBM Corporation IBM PureData for Analytics powered by Netezza – Backup Options 18 About the Speaker Mr. Tony Pearson Master Inventor, Senior Managing Consultant IBM System Storage Tony Pearson is a Master Inventor and Senior IT storage consultant for the IBM System Storage™ product line. Tony Pearson joined IBM Corporation in 1986 in Tucson, Arizona, USA, and has lived there ever since. Over the past years, Tony has worked in development, marketing and customer care positions for various storage hardware and software products. In his current role, Tony presents briefings on storage topics covering the entire System Storage product line, as well as various storage software products. He interacts with clients, speaks at conferences and events, and leads workshops to help clients with strategic planning for IBM’s integrated set of storage management software, hardware, and virtualization products. Tony writes the “Inside System Storage” blog, which is read by hundreds of clients, IBM sales reps and IBM Business Partners every week. This blog was rated one of the top 10 blogs of 2006 for the IT storage industry by “Networking World” magazine. The blog was published in book form as Inside System Storage: Volume I and Volume II , both available from Lulu publishing. Tony has a Bachelor of Science degree in Software Engineering, and a Master of Science degree in Electrical Engineering, both from the University of Arizona. Tony holds 19 IBM patents for inventions on storage hardware and software products. 9000 S. Rita Road Bldg 9070 Mail 9070 Tucson, AZ 85744 +1 520-799-4309 (Office) tpearson@us.ibm.com Tony Pearson Master Inventor, Senior Managing Consultant IBM System Storage™
  • 19. © 2014 IBM Corporation IBM PureData for Analytics powered by Netezza – Backup Options 19 Additional Resources 19 Email: tpearson@us.ibm.com Twitter: http://twitter.com/az99Øtony Blog: http://ibm.co/brAeZØ Books: http://www.lulu.com/spotlight/99Ø_tony IBM Expert Network: http://www.slideshare.net/az99Øtony 19
  • 20. © 2014 IBM Corporation IBM PureData for Analytics powered by Netezza – Backup Options 20 Trademarks and disclaimers © IBM Corporation 2011. All rights reserved. References in this document to IBM products or services do not imply that IBM intends to make them available in every country. Adobe, the Adobe logo, PostScript, and the PostScript logo are either registered trademarks or trademarks of Adobe Systems Incorporated in the United States, and/or other countries. IT Infrastructure Library is a registered trademark of the Central Computer and Telecommunications Agency which is now part of the Office of Government Commerce. Intel, Intel logo, Intel Inside, Intel Inside logo, Intel Centrino, Intel Centrino logo, Celeron, Intel Xeon, Intel SpeedStep, Itanium, and Pentium are trademarks or registered trademarks of Intel Corporation or its subsidiaries in the United States and other countries. Linux is a registered trademark of Linus Torvalds in the United States, other countries, or both. Microsoft, Windows, Windows NT, and the Windows logo are trademarks of Microsoft Corporation in the United States, other countries, or both. ITIL is a registered trademark, and a registered community trademark of the Office of Government Commerce, and is registered in the U.S. Patent and Trademark Office. UNIX is a registered trademark of The Open Group in the United States and other countries. Java and all Java-based trademarks and logos are trademarks or registered trademarks of Oracle and/or its affiliates. Cell Broadband Engine is a trademark of Sony Computer Entertainment, Inc. in the United States, other countries, or both and is used under license therefrom. Linear Tape-Open, LTO, the LTO Logo, Ultrium, and the Ultrium logo are trademarks of HP, IBM Corp. and Quantum in the U.S. and other countries. Other product and service names might be trademarks of IBM or other companies. Information is provided "AS IS" without warranty of any kind. The customer examples described are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual environmental costs and performance characteristics may vary by customer. Information concerning non-IBM products was obtained from a supplier of these products, published announcement material, or other publicly available sources and does not constitute an endorsement of such products by IBM. Sources for non-IBM list prices and performance numbers are taken from publicly available information, including vendor announcements and vendor worldwide homepages. IBM has not tested these products and cannot confirm the accuracy of performance, capability, or any other claims related to non-IBM products. Questions on the capability of non-IBM products should be addressed to the supplier of those products. All statements regarding IBM future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only. Some information addresses anticipated future capabilities. Such information is not intended as a definitive statement of a commitment to specific levels of performance, function or delivery schedules with respect to any future products. Such commitments are only made in IBM product announcements. The information is presented here to communicate IBM's current investment and development activities as a good faith effort to help with our customers' future planning. Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon considerations such as the amount of multiprogramming in the user's job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve throughput or performance improvements equivalent to the ratios stated here. Prices are suggested U.S. list prices and are subject to change without notice. Starting price may not include a hard drive, operating system or other features. Contact your IBM representative or Business Partner for the most current pricing in your geography. Photographs shown may be engineering prototypes. Changes may be incorporated in production models. Trademarks of International Business Machines Corporation in the United States, other countries, or both can be found on the World Wide Web at http://www.ibm.com/legal/copytrade.shtml. ZSP03490-USEN-00