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© 2014 IBM Corporation
Welcome to 2015’s IT Infrastructure
John Sing
IBM Product Manager, Elastic Storage
© 2014 IBM Corporation2
© 2014 IBM Corporation3
A long time ago, there were fewer choices…..
© 2014 IBM Corporation4
© 2014 IBM Corporation5
© 2014 IBM Corporation6
Examples everywhere: Growth of exogenous Data is transforming Healthcare
60%
30%
10%
Exogenous data Influence on outcomes
1,100 Terabytes
Generated per lifetime
Genomics data
Clinical data
6
© 2014 IBM Corporation7
Ever get this feeling?
7
2008
2015
© 2014 IBM Corporation8
Past the Tipping Point: > 50% of all Internet access today via mobile
Changed forever how, where we
consume data
Changed forever how, where we
consume data
© 2014 IBM Corporation9
Opportunity coming: new consumer insights through Digitization of Cash
2.5TTransactions
Consumer volume
0.3T
Transactions
Government &
Business volume
85% cash
15% non-cash
10% cash
90% non-cash
Cash is the most used
retail payment instrument*
Source: http://www.frbsf.org/cash/publications/fed-notes/2014/april/cash-consumer-spending-payment-diary
Source: Master Card Advisors, 2013 report
9
© 2014 IBM Corporation10
Gartner Symposium / ITxpo, Orlando 2014:
https://www.youtube.com/watch?v=6McF8AERbCM
http://www.gartner.com/newsroom/id/2865322
http://www.gartner.com/imagesrv/cio/pdf/cio_agenda_insights2015.pdf
© 2014 IBM Corporation11
Agenda:
 Observations on the Digital
Customer Journey
 Impact on our business and
IT infrastructure
 Digital Enterprise has created
need for global shared data
storage infrastructure
© 2014 IBM Corporation12
The modern digital business model
“The Old Days”
First identified in 2009:
“Digital Customer Journey”
© 2014 IBM Corporation13
Digital Customer Journey:
2. Evaluate2. Evaluate
3. Buy3. Buy
4. Enjoy,
Advocate,
Bond
4. Enjoy,
Advocate,
Bond
1. Consider1. Consider
Four “battlegrounds”
© 2014 IBM Corporation14
1. Consider 1. Our customers consider an initial
set of brands, based on brand
perceptions and exposure to recent
touch points
© 2014 IBM Corporation15
1. The customer considers an initial
set of brands, based on brand
perceptions and exposure to recent
touch points
1. Consider
© 2014 IBM Corporation16
1. The customer considers an initial
set of brands, based on brand
perceptions and exposure to recent
touch points
1. Consider
© 2014 IBM Corporation17
1. Consider 1. The customer considers an initial
set of brands, based on brand
perceptions and exposure to recent
touch points
© 2014 IBM Corporation18
2. Evaluate
Customers / B2B add or subtract
brands as they evaluate
what they want
2/3 of interactions are “pulled” by
customer from “earned social media”
2/3 of interactions are “pulled” by
customer from “earned social media”
Highly cross-channel journeyHighly cross-channel journey
© 2014 IBM Corporation19
3. Buy
40% of customers change their minds at this point
Thus these are important:
- In-store / online experience ( physical, virtual )
- Salesperson knowledge / approach
- Merchandising, packaging, visual
- Comparison shopping
- Price check, etc.
© 2014 IBM Corporation20
4. Enjoy / Advocate / Bond: “Loyalty Loop”
After purchase, customers remain aggressively engaged, publically promoting / assailing, collaborating /
crowdsourcing your brand’s development, challenging / shaping your brand’s meaning in marketplace.
Loyalty Loop
© 2014 IBM Corporation21
© 2014 IBM Corporation22
B2B version: “Global Lighting”
SpecificationSpecification
http://hbr.org/web/ideas-in-practice/aligning-with-the-consumer-decision-journey
RFP / Price
Comparison
RFP / Price
Comparison
BuyBuy
Service ExperienceService Experience
InspirationInspiration
SharingSharing
Their particular
Digital Customer
Journey:
Multiple online image-rich consistent
channels, social media
Multiple online image-rich consistent
channels, social media
Easy to use, dynamic
product, energy, physical
data, download into
customer’s building /
energy mgmt software
Easy to use, dynamic
product, energy, physical
data, download into
customer’s building /
energy mgmt software
Customer call center
real person over phone.
Consistent experience
with online channels and
service.
Customer call center
real person over phone.
Consistent experience
with online channels and
service.
Incentives
for sharing
Incentives
for sharing
Call center integrated
consistent experience
Call center integrated
consistent experience
Customer call center -
real person over phone.
Consistent experience
with online channels and
service.
Customer call center -
real person over phone.
Consistent experience
with online channels and
service.
© 2014 IBM Corporation23
If you agree with this model…... how does IT respond?
© 2014 IBM Corporation24
http://www.mckinsey.com/insights/business_technology/reinventing_it_to_support_digitization
http://www.mckinsey.com/insights/marketing_sales/digitizing_the_consumer_decision_journey
Recent research; more created every day
© 2014 IBM Corporation25
Reinventing IT for “Digital Customer Journey”
Successful Key Steps
#1:
Strategically plan for central data mart,
with 360 degree view of all customer
contacts with your brand
 Across all channels
 Across both owned and earned media
© 2014 IBM Corporation26
Reinventing IT for “Digital Customer Journey”
#2: Requires top down C-level leadership, top priority, funding
• Owned, funded, coordinated, driven
by CMO and newly hired digital
marketing chief
• Staffed for centralized, rich media
content creation, dynamic content
management
• Integrated, consistent delivery across
all channels
• Plan for associated investment in supply
chain, call center, distributor support, etc.
for new customer touch points
© 2014 IBM Corporation27
Reinventing IT for “Digital Customer Journey”
#3: Requires new, different technology and IT talent
 Mobile
 Social
 Digital marketing
Often requires: bi-modal parallel IT organizations
Complete discussion on new, different IT talents required:
http://slidesha.re/1mI7W77
Cloud
3.0
 Big Data analytics
 Cloud
© 2014 IBM Corporation28
#4: Agile development, rapid releases
Based upon a rapidly re-composable data-sharable IT infrastructure
Reinventing IT for “Digital Customer Journey”
Complete discussion on sourcing, cloud IT arrangements:
http://slidesha.re/1mI7W77
© 2014 IBM Corporation29
Reinventing IT for “Digital Customer Journey”
#5: Will require new sourcing and IT arrangements, to rapidly scale up/down, both
workforce and capacity
• Cloud
• Universal data-sharing
infrastructure
• Facilitating organizational
collaboration
• Leveraging millennial
generation workforce talent
and work style flexibility
Complete discussion on sourcing, cloud IT arrangements:
http://slidesha.re/1mI7W77
© 2014 IBM Corporation30
Data is the new Basis of competitive Value
Healthcare
Banking
Oil & Gas
Retail
30
© 2014 IBM Corporation31
Automobile transformation
Ford: https://www.youtube.com/watch?v=nFUszkSv5X0
© 2014 IBM Corporation32
Energy & utilities transformation
© 2014 IBM Corporation33
Government transformation
Miami-Dade County: https://www.youtube.com/watch?v=toL4Yx9WYPo
Miami-Dade Police: https://www.youtube.com/watch?v=1b5RiPWd-Pw
© 2014 IBM Corporation34
Aerospace / defense transformation
© 2014 IBM Corporation35
Media and entertainment transformation
© 2014 IBM Corporation36
“On a Smarter Planet, those with the best analytics win.” -IBM
36
3 phases of the internet
3 generations of computing platforms
Enterprise
Security
Big
Data
Analytics
NEW
REQUIREMENTS
Cognitive
System
s
1964 2015 Smarter Planet
Internet
Mainframe Client/server PC Mobile devices
Web2.0
Amount of data collected and stored
+ + + + + +
27May2015 HorizonWatch 2015: Summary for Academy of Technology
Cloud/Social
© 2014 IBM Corporation37
The Data Solution
Continuous data access to a shared
storage infrastructure
IBMSpectrumScale
37
© 2014 IBM Corporation38
IBM Software Defined Storage – data foundation for Digital Enterprise
IBM Spectrum Storage Family
Traditional Applications New Generation Applications
Storage
Management
Policy
Automation
Analytics &
Optimization
Snapshot &
Replication
Management
Integration &
API Services
Data Protection
Spectrum Virtualize
SAN Volume Controller
Virtualized SAN BlockVirtualized SAN Block
Spectrum Scale
GPFS/Elastic Storage
Global File & ObjectGlobal File & Object
Spectrum Accelerate
Based on XIV Software
Hyperscale BlockHyperscale Block
Data Access
Storage and Data Control
Spectrum Control
Virtual Storage Center
Spectrum Protect
Tivoli Storage Manager
Self Service
Storage
Spectrum Archive
LTFS
Active Data RetentionActive Data Retention
© 2014 IBM Corporation39
IBM Spectrum Scale: Transforming Data Economics
Speed
and Scale
High performance for petabytes of data & billions of files and
objects under a single global namespace
Simplicity Integrates with open architectures, e.g. OpenStack, POSIX
Security Built-in encryption and data protection
Cost
Efficiency
Up to 10x cost savings with automatic movement across tiers
Confidence Over 3,000 clients and more than 100,000 systems
IBM Spectrum Scale
built on IBM General Parallel File System (GPFS) Technology
39
© 2014 IBM Corporation40
Unleash New Storage Economics on a Global Scale
Note: Features market in red are planned for the future.
Disk
Tape
Storage Rich
Servers
Client workstations Users and applications
Compute Farm
Single name space
Flash
NFS
Map Reduce
Connector
OpenStackPOSIX SMB/CIFS
Cinder Swift
GlanceManila
Multi-cloud Storage
Toolkit
IBM Spectrum Scale
Automated data placement and data migration
Off Premise
40
Site A
Site B
Site C
© 2014 IBM Corporation41
IBM Spectrum Scale services
PCS / IBM Confidential
Commodity Hardware
Non-disruptive data
migration
Flash
Acceleration
Network performance
monitoring
File Placement
Optimization
Native Encryption
And Secure Erase
Global Active File
Management
Advanced Mirroring
and Caching Services
Common
Management
Cloud Ready
High speed
scanning engine
Policy based
data migration
Unified data access with
File and Object Based
Storage
41
© 2014 IBM Corporation42
3 Deployment Options
 Software Only
Software licenses: Express,
Standard or Advanced Editions
 IBM Spectrum Scale SW,
GUI, GNR, drives, services
IBM Elastic Storage Server
 Managed Service Elastic Storage on CloudSpectrum Scale
42
IBM Spectrum Scale
© 2014 IBM Corporation43
Dr. Greg Lavender
CTO Cloud Architecture and Infrastructure Engineering
100x performance improvement with IBM Platform
Computing (Symphony) and Spectrum Scale (GPFS)
Video available on Youtube
https://www.youtube.com/watch?v=CfO5zI3I6oc
Start 35:44, quote at 38:10
© 2014 IBM Corporation44 44
SDS: Spectrum Scale (GPFS) Use Cases
Single SDS solution for many application types
Linear capacity & performance scale out
Hadoop Connector
Big Data &
Analytics
Cinder Swift
Cloud
Block Object
NFS
POSIX
“Traditional”
Workloads
HPC, Enterprise
File
Enterprise
DB2
Oracle
MQ etc.
Spectrum Scale s/wSpectrum Scale s/w
Standard HWStandard HW
Single Name Space
© 2014 IBM Corporation45
Shared Spectrum Scale filesystem makes HADOOP easier!
Spectrum ScaleSpectrum Scale
Application
writes direct
to Hadoop
path
Application
writes direct
to Hadoop
path
Direct read & write, one copyDirect read & write, one copy
direct-read
Raw dataRaw data
Data Sources
& Traditional
Applications
HDFSHDFS
Raw dataRaw data
ext4ext4
ext4ext4
writewrite movemove copycopy
Copies in both HDFS and ext4Copies in both HDFS and ext4
Spectrum Scale can use Hadoop cluster “internal disks” as a storage pool = part of a filesystem!
45
© 2014 IBM Corporation46
The Solution: IBM Spectrum Scale™ brings it all together
46
Global Name Space
IBM Spectrum Scale™ to
centralize SAN-based file
systems
Replaces NTFS, EXT4, JFS2 and other
POSIX file systems
Used by over 200 of the top 500
supercomputers
No file transfers required between
different OS
Can be used with everything from
databases to video streaming
For x86, POWER and
z System servers
Secure with
Data-at-rest encryption
IBM Spectrum Scale™ to centralize HDFS and NAS file storage
Full Hadoop interfaces for Map/Reduce analytics processing
No transfer or ingest required as the data is already there
Fully protected with Backup Software
File-level access support for NFS, CIFS, FTP, SCP and HTTPS
Supports Enterprise File Sync-and-Share
via OwnCloud or Funambol
IBM Spectrum Scale™
offers Object access
Object-level access based on
OpenStack Swift driver and
Amazon S3 APIs
IBM Spectrum Scale™
supports all media
Spans flash, disk and tape media
© 2014 IBM Corporation47
© 2014 IBM Corporation48
IBM
Spectrum Scale
Storage
Thank You

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Welcome to 2015's Digital Enterprise IT Infrastructure

  • 1. © 2014 IBM Corporation Welcome to 2015’s IT Infrastructure John Sing IBM Product Manager, Elastic Storage
  • 2. © 2014 IBM Corporation2
  • 3. © 2014 IBM Corporation3 A long time ago, there were fewer choices…..
  • 4. © 2014 IBM Corporation4
  • 5. © 2014 IBM Corporation5
  • 6. © 2014 IBM Corporation6 Examples everywhere: Growth of exogenous Data is transforming Healthcare 60% 30% 10% Exogenous data Influence on outcomes 1,100 Terabytes Generated per lifetime Genomics data Clinical data 6
  • 7. © 2014 IBM Corporation7 Ever get this feeling? 7 2008 2015
  • 8. © 2014 IBM Corporation8 Past the Tipping Point: > 50% of all Internet access today via mobile Changed forever how, where we consume data Changed forever how, where we consume data
  • 9. © 2014 IBM Corporation9 Opportunity coming: new consumer insights through Digitization of Cash 2.5TTransactions Consumer volume 0.3T Transactions Government & Business volume 85% cash 15% non-cash 10% cash 90% non-cash Cash is the most used retail payment instrument* Source: http://www.frbsf.org/cash/publications/fed-notes/2014/april/cash-consumer-spending-payment-diary Source: Master Card Advisors, 2013 report 9
  • 10. © 2014 IBM Corporation10 Gartner Symposium / ITxpo, Orlando 2014: https://www.youtube.com/watch?v=6McF8AERbCM http://www.gartner.com/newsroom/id/2865322 http://www.gartner.com/imagesrv/cio/pdf/cio_agenda_insights2015.pdf
  • 11. © 2014 IBM Corporation11 Agenda:  Observations on the Digital Customer Journey  Impact on our business and IT infrastructure  Digital Enterprise has created need for global shared data storage infrastructure
  • 12. © 2014 IBM Corporation12 The modern digital business model “The Old Days” First identified in 2009: “Digital Customer Journey”
  • 13. © 2014 IBM Corporation13 Digital Customer Journey: 2. Evaluate2. Evaluate 3. Buy3. Buy 4. Enjoy, Advocate, Bond 4. Enjoy, Advocate, Bond 1. Consider1. Consider Four “battlegrounds”
  • 14. © 2014 IBM Corporation14 1. Consider 1. Our customers consider an initial set of brands, based on brand perceptions and exposure to recent touch points
  • 15. © 2014 IBM Corporation15 1. The customer considers an initial set of brands, based on brand perceptions and exposure to recent touch points 1. Consider
  • 16. © 2014 IBM Corporation16 1. The customer considers an initial set of brands, based on brand perceptions and exposure to recent touch points 1. Consider
  • 17. © 2014 IBM Corporation17 1. Consider 1. The customer considers an initial set of brands, based on brand perceptions and exposure to recent touch points
  • 18. © 2014 IBM Corporation18 2. Evaluate Customers / B2B add or subtract brands as they evaluate what they want 2/3 of interactions are “pulled” by customer from “earned social media” 2/3 of interactions are “pulled” by customer from “earned social media” Highly cross-channel journeyHighly cross-channel journey
  • 19. © 2014 IBM Corporation19 3. Buy 40% of customers change their minds at this point Thus these are important: - In-store / online experience ( physical, virtual ) - Salesperson knowledge / approach - Merchandising, packaging, visual - Comparison shopping - Price check, etc.
  • 20. © 2014 IBM Corporation20 4. Enjoy / Advocate / Bond: “Loyalty Loop” After purchase, customers remain aggressively engaged, publically promoting / assailing, collaborating / crowdsourcing your brand’s development, challenging / shaping your brand’s meaning in marketplace. Loyalty Loop
  • 21. © 2014 IBM Corporation21
  • 22. © 2014 IBM Corporation22 B2B version: “Global Lighting” SpecificationSpecification http://hbr.org/web/ideas-in-practice/aligning-with-the-consumer-decision-journey RFP / Price Comparison RFP / Price Comparison BuyBuy Service ExperienceService Experience InspirationInspiration SharingSharing Their particular Digital Customer Journey: Multiple online image-rich consistent channels, social media Multiple online image-rich consistent channels, social media Easy to use, dynamic product, energy, physical data, download into customer’s building / energy mgmt software Easy to use, dynamic product, energy, physical data, download into customer’s building / energy mgmt software Customer call center real person over phone. Consistent experience with online channels and service. Customer call center real person over phone. Consistent experience with online channels and service. Incentives for sharing Incentives for sharing Call center integrated consistent experience Call center integrated consistent experience Customer call center - real person over phone. Consistent experience with online channels and service. Customer call center - real person over phone. Consistent experience with online channels and service.
  • 23. © 2014 IBM Corporation23 If you agree with this model…... how does IT respond?
  • 24. © 2014 IBM Corporation24 http://www.mckinsey.com/insights/business_technology/reinventing_it_to_support_digitization http://www.mckinsey.com/insights/marketing_sales/digitizing_the_consumer_decision_journey Recent research; more created every day
  • 25. © 2014 IBM Corporation25 Reinventing IT for “Digital Customer Journey” Successful Key Steps #1: Strategically plan for central data mart, with 360 degree view of all customer contacts with your brand  Across all channels  Across both owned and earned media
  • 26. © 2014 IBM Corporation26 Reinventing IT for “Digital Customer Journey” #2: Requires top down C-level leadership, top priority, funding • Owned, funded, coordinated, driven by CMO and newly hired digital marketing chief • Staffed for centralized, rich media content creation, dynamic content management • Integrated, consistent delivery across all channels • Plan for associated investment in supply chain, call center, distributor support, etc. for new customer touch points
  • 27. © 2014 IBM Corporation27 Reinventing IT for “Digital Customer Journey” #3: Requires new, different technology and IT talent  Mobile  Social  Digital marketing Often requires: bi-modal parallel IT organizations Complete discussion on new, different IT talents required: http://slidesha.re/1mI7W77 Cloud 3.0  Big Data analytics  Cloud
  • 28. © 2014 IBM Corporation28 #4: Agile development, rapid releases Based upon a rapidly re-composable data-sharable IT infrastructure Reinventing IT for “Digital Customer Journey” Complete discussion on sourcing, cloud IT arrangements: http://slidesha.re/1mI7W77
  • 29. © 2014 IBM Corporation29 Reinventing IT for “Digital Customer Journey” #5: Will require new sourcing and IT arrangements, to rapidly scale up/down, both workforce and capacity • Cloud • Universal data-sharing infrastructure • Facilitating organizational collaboration • Leveraging millennial generation workforce talent and work style flexibility Complete discussion on sourcing, cloud IT arrangements: http://slidesha.re/1mI7W77
  • 30. © 2014 IBM Corporation30 Data is the new Basis of competitive Value Healthcare Banking Oil & Gas Retail 30
  • 31. © 2014 IBM Corporation31 Automobile transformation Ford: https://www.youtube.com/watch?v=nFUszkSv5X0
  • 32. © 2014 IBM Corporation32 Energy & utilities transformation
  • 33. © 2014 IBM Corporation33 Government transformation Miami-Dade County: https://www.youtube.com/watch?v=toL4Yx9WYPo Miami-Dade Police: https://www.youtube.com/watch?v=1b5RiPWd-Pw
  • 34. © 2014 IBM Corporation34 Aerospace / defense transformation
  • 35. © 2014 IBM Corporation35 Media and entertainment transformation
  • 36. © 2014 IBM Corporation36 “On a Smarter Planet, those with the best analytics win.” -IBM 36 3 phases of the internet 3 generations of computing platforms Enterprise Security Big Data Analytics NEW REQUIREMENTS Cognitive System s 1964 2015 Smarter Planet Internet Mainframe Client/server PC Mobile devices Web2.0 Amount of data collected and stored + + + + + + 27May2015 HorizonWatch 2015: Summary for Academy of Technology Cloud/Social
  • 37. © 2014 IBM Corporation37 The Data Solution Continuous data access to a shared storage infrastructure IBMSpectrumScale 37
  • 38. © 2014 IBM Corporation38 IBM Software Defined Storage – data foundation for Digital Enterprise IBM Spectrum Storage Family Traditional Applications New Generation Applications Storage Management Policy Automation Analytics & Optimization Snapshot & Replication Management Integration & API Services Data Protection Spectrum Virtualize SAN Volume Controller Virtualized SAN BlockVirtualized SAN Block Spectrum Scale GPFS/Elastic Storage Global File & ObjectGlobal File & Object Spectrum Accelerate Based on XIV Software Hyperscale BlockHyperscale Block Data Access Storage and Data Control Spectrum Control Virtual Storage Center Spectrum Protect Tivoli Storage Manager Self Service Storage Spectrum Archive LTFS Active Data RetentionActive Data Retention
  • 39. © 2014 IBM Corporation39 IBM Spectrum Scale: Transforming Data Economics Speed and Scale High performance for petabytes of data & billions of files and objects under a single global namespace Simplicity Integrates with open architectures, e.g. OpenStack, POSIX Security Built-in encryption and data protection Cost Efficiency Up to 10x cost savings with automatic movement across tiers Confidence Over 3,000 clients and more than 100,000 systems IBM Spectrum Scale built on IBM General Parallel File System (GPFS) Technology 39
  • 40. © 2014 IBM Corporation40 Unleash New Storage Economics on a Global Scale Note: Features market in red are planned for the future. Disk Tape Storage Rich Servers Client workstations Users and applications Compute Farm Single name space Flash NFS Map Reduce Connector OpenStackPOSIX SMB/CIFS Cinder Swift GlanceManila Multi-cloud Storage Toolkit IBM Spectrum Scale Automated data placement and data migration Off Premise 40 Site A Site B Site C
  • 41. © 2014 IBM Corporation41 IBM Spectrum Scale services PCS / IBM Confidential Commodity Hardware Non-disruptive data migration Flash Acceleration Network performance monitoring File Placement Optimization Native Encryption And Secure Erase Global Active File Management Advanced Mirroring and Caching Services Common Management Cloud Ready High speed scanning engine Policy based data migration Unified data access with File and Object Based Storage 41
  • 42. © 2014 IBM Corporation42 3 Deployment Options  Software Only Software licenses: Express, Standard or Advanced Editions  IBM Spectrum Scale SW, GUI, GNR, drives, services IBM Elastic Storage Server  Managed Service Elastic Storage on CloudSpectrum Scale 42 IBM Spectrum Scale
  • 43. © 2014 IBM Corporation43 Dr. Greg Lavender CTO Cloud Architecture and Infrastructure Engineering 100x performance improvement with IBM Platform Computing (Symphony) and Spectrum Scale (GPFS) Video available on Youtube https://www.youtube.com/watch?v=CfO5zI3I6oc Start 35:44, quote at 38:10
  • 44. © 2014 IBM Corporation44 44 SDS: Spectrum Scale (GPFS) Use Cases Single SDS solution for many application types Linear capacity & performance scale out Hadoop Connector Big Data & Analytics Cinder Swift Cloud Block Object NFS POSIX “Traditional” Workloads HPC, Enterprise File Enterprise DB2 Oracle MQ etc. Spectrum Scale s/wSpectrum Scale s/w Standard HWStandard HW Single Name Space
  • 45. © 2014 IBM Corporation45 Shared Spectrum Scale filesystem makes HADOOP easier! Spectrum ScaleSpectrum Scale Application writes direct to Hadoop path Application writes direct to Hadoop path Direct read & write, one copyDirect read & write, one copy direct-read Raw dataRaw data Data Sources & Traditional Applications HDFSHDFS Raw dataRaw data ext4ext4 ext4ext4 writewrite movemove copycopy Copies in both HDFS and ext4Copies in both HDFS and ext4 Spectrum Scale can use Hadoop cluster “internal disks” as a storage pool = part of a filesystem! 45
  • 46. © 2014 IBM Corporation46 The Solution: IBM Spectrum Scale™ brings it all together 46 Global Name Space IBM Spectrum Scale™ to centralize SAN-based file systems Replaces NTFS, EXT4, JFS2 and other POSIX file systems Used by over 200 of the top 500 supercomputers No file transfers required between different OS Can be used with everything from databases to video streaming For x86, POWER and z System servers Secure with Data-at-rest encryption IBM Spectrum Scale™ to centralize HDFS and NAS file storage Full Hadoop interfaces for Map/Reduce analytics processing No transfer or ingest required as the data is already there Fully protected with Backup Software File-level access support for NFS, CIFS, FTP, SCP and HTTPS Supports Enterprise File Sync-and-Share via OwnCloud or Funambol IBM Spectrum Scale™ offers Object access Object-level access based on OpenStack Swift driver and Amazon S3 APIs IBM Spectrum Scale™ supports all media Spans flash, disk and tape media
  • 47. © 2014 IBM Corporation47
  • 48. © 2014 IBM Corporation48 IBM Spectrum Scale Storage Thank You

Hinweis der Redaktion

  1. http://chiefmartec.com/2014/02/1000-marketing-technology-vendors-new-normal/
  2. http://liesdamnedliesstatistics.com/2012/05/stats-that-show-why-you-need-a-mobile-first-approach-now.html http://www.digitalbuzzblog.com/2011-mobile-statistics-stats-facts-marketing-infographic By 2014: mobile will be main way of connecting to Internet.   Younger consumers are already doing so, various activities ranging from social media to online shopping are increasing on smartphones. Smartphones are becoming the primary camera for more and more people coinciding with Instagram reaching 50 million users while smartphone users are not only always connected but engage in content snacking as this US report says  In other words, what we consume may not be different but how we consume it, how long for, how they share it and how they view it will be.
  3. Graphic: http://www.forbes.com/sites/glennllopis/2014/03/24/every-leader-must-be-a-change-agent-or-face-extinction/ In that article, the picture came from: http://blog.lamarsh.com
  4. http://www.inma.org/blogs/value-content/post.cfm/hiking-the-customer-decision-journey Comparing the “funnel” vs. the “Customer Decision Journey” You can see tons of versions here: http://www.pinterest.com/McKMktgSales/customer-decision-journey/
  5. Nowadays, we describe the customer’s decision journey as more of an orbit. The farther away the customer ‘travel’s from your brand, the more consideration and pause and departure in their process of deciding to buy from you. The tighter the customer ‘travels’ to your brand, the more loyal they are. Ideally, you of course should be spending (far) less to acquire a customer for a repeat purchase, than you did for their first purchase. Often, your most vocal advocates are your most loyal customers, giving rise to the idea of the “Loyalty Loop”. Key takeaway: these 4 stages are the 4 “battlegrounds” for your customer’s business Customers are more influenced by the “evaluate” and “enjoy / advocate / bond “ stages, than the “consider” and “buy” stages
  6. Consideration Customer considers an initial set of brands, based on brand perceptions and exposure to recent touch points Customer impressions formed from: Advertising, news, conversation, product experience shapes the “initial consideration set” (only!)
  7. Consideration Customer considers an initial set of brands, based on brand perceptions and exposure to recent touch points Customer impressions formed from: Advertising, news, conversation, product experience shapes the “initial consideration set” (only!)
  8. Consideration Customer considers an initial set of brands, based on brand perceptions and exposure to recent touch points Customer impressions formed from: Advertising, news, conversation, product experience shapes the “initial consideration set” (only!)
  9. Consideration Customer considers an initial set of brands, based on brand perceptions and exposure to recent touch points Customer impressions formed from: Advertising, news, conversation, product experience shapes the “initial consideration set” (only!)
  10. With all of this as a context, now when we see the 1000s of articles like this one, they start to make sense: http://www.ducttapemarketing.com/blog/2014/07/17/brand-advocates/ http://www.mckinseyonmarketingandsales.com/sites/default/files/pdf/Consumer_Experience_Journey_FNL.pdf http://karenlevine.wordpress.com/2014/04/30/direct-marketing-who-does-it-well/
  11. 2012 Harvard Business School report – Business to Business follow-on: “Aligning with Consumer Decision Journey”: http://hbr.org/web/ideas-in-practice/aligning-with-the-consumer-decision-journey
  12. http://www.batesville.k12.in.us/physics/phynet/aboutscience/hypotheses.html http://www.princeton.edu/~achaney/tmve/wiki100k/docs/Falsifiability.html
  13. Typical of other reports showing up daily: http://www.cio-digital.com/ciodigital/october_1__2014
  14. http://hbr.org/web/ideas-in-practice/aligning-with-the-consumer-decision-journey http://www.mckinsey.com/insights/business_technology/reinventing_it_to_support_digitization http://www.mckinsey.com/insights/marketing_sales/digitizing_the_consumer_decision_journey
  15. http://hbr.org/web/ideas-in-practice/aligning-with-the-consumer-decision-journey http://www.mckinsey.com/insights/business_technology/reinventing_it_to_support_digitization http://www.mckinsey.com/insights/marketing_sales/digitizing_the_consumer_decision_journey
  16. http://hbr.org/web/ideas-in-practice/aligning-with-the-consumer-decision-journey http://www.mckinsey.com/insights/business_technology/reinventing_it_to_support_digitization http://www.mckinsey.com/insights/marketing_sales/digitizing_the_consumer_decision_journey Complete discussion on the different elite IT talent required is here: http://www.slideshare.net/johnsing1/cloudbigdataanalyticsmobilesocialmoderninternetscalebusinessmodels2014johnsing
  17. http://hbr.org/web/ideas-in-practice/aligning-with-the-consumer-decision-journey http://www.mckinsey.com/insights/business_technology/reinventing_it_to_support_digitization http://www.mckinsey.com/insights/marketing_sales/digitizing_the_consumer_decision_journey More information and discussion on agile development, rapid releases is here: http://www.slideshare.net/johnsing1/cloudbigdataanalyticsmobilesocialmoderninternetscalebusinessmodels2014johnsing
  18. http://hbr.org/web/ideas-in-practice/aligning-with-the-consumer-decision-journey http://www.mckinsey.com/insights/business_technology/reinventing_it_to_support_digitization http://www.mckinsey.com/insights/marketing_sales/digitizing_the_consumer_decision_journey Complete discussion on the different required sourcing and IT arrangements here: http://www.slideshare.net/johnsing1/cloudbigdataanalyticsmobilesocialmoderninternetscalebusinessmodels2014johnsing
  19. -The 3rd generation of computing platform, the 3rd phase of the Internet, and the explosion of Big Data are colliding to form a perfect storm of disruption and transformation -To leverage this new computing platform, enterprises will require secure systems, advanced analytics, and cognitive fully systems -When fully leveraged, this new platform will help us all make the world a smarter planet -Characteristics of A Smarter Planet (Internet of Things) Instrumented – Sensors, Embedded Devices, Generating Big Data Interconnected – M2M Communications, Node-Node, Internet 3.0 Intelligent – Local/Edge Processing, Distributed Analytics, Cognitive Systems
  20. The solution is a Shared storage infrastructure. That is the key to solving the problem because it reduces operational costs. Fewer administers can manage larger storage infrastructures.
  21. IBM Spectrum Scale delivers high performance for petabytes of data and billions of files used in big data, analytics, and cloud environments. IBM Software Defined Storage transforms data economics for traditional and new era workloads with new data flexibility, agility, and responsiveness – all delivered through software. And at the same time, maintaining the required security and reliability that are critical for your data systems. Production proven with over 3000 clients and 100,000 systems, enhancements include: Advanced data protection and built-in encryption for reliable security Policy-based data movement to automatically optimize performance and costs - managing data, files and objects across a scalable storage cluster – with automation to move data among Flash, Disk and Tape. his capability help meet demanding application performance requirements – for example up to 6x faster with Flash while minimizing costs – such as up to 10x cost savings moving seldom used data to Tape These capabilities complement IBM Software and Systems such as Power by delivering higher performance, reliability and security at lower cost for key workloads as well as being included in dozens of IBM and partner offerings. Some examples include: Hadoop-based analytics with IBM InfoSphere BigInsights Cognitive computing with IBM Watson Solutions Content management with IBM Enterprise Content Manager to collect, serve and archive huge volume of files and objects. At our EDGE conference here in 3 weeks, we will be demonstrating OpenStack Swift access as an industry standard interface for large object archive workloads
  22. If you have a storage infra and you are running Spectrum Scale, “There is a service for that.” Please engage your customers. We can help them solve their problems. That is our business.
  23. Key Contacts: John Sing, Elastic Storage Server Product Manager jmsing@us.ibm.com John Langlois, Elastic Storage SOFTWARE Product Manager johnlang@us.ibm.com Janet Ellsworth, Elastic Storage Product Manager janetell@us.ibm.com [MulitCloud Toolkit, OEM relationships, Partnerships, GNR as SW] Chris Porter, Elastic Storage on Cloud porterc@us.ibm.com
  24. This is an overview of how Elastic Storage accelerates data intensive workflows. Massive amounts of Data from High Output Devices like Genome Sequencers in Life Sciences to Market Data in Financial Services is ingested in parallel into a cluster of Elastic Storage Storage Servers. From there, that data is processed in the compute cluster on top, both with conventional computation and Hadoop-based MapReduce techniques – all on the same compute/storage infrastructure – cutting costs and eliminating data movement. After computation, data is then accessed, analyzed, and added value to by various local participants in the workflow as shown on the bottom of the diagram. In addition to local data access, Elastic Storage empowers global collaborative workflows by caching data on Elastic Storage clusters anywhere in the world – providing low latency access to data anywhere its needed. Finally, Elastic Storage can tier data automatically, significantly lowering the costs of storing data. From flash to high speed disks, to high capacity disks and even tape. And all data, no matter where it is, is still visible in the file system. Elastic Storage puts the right data in the right place at the right time with the right performance and the right cost. We’ll go into detail on all of these features and benefits in the rest of the presentation.
  25. Neeta: HDFS: 3 copies of the data (Raw –in the app, ext4 on the node, HDFS). EXT4 on a given node has to large enough to hold the transitory data ( need special tool to leverage ext4 on all nodes) Spectrum Scale: 1 copy of the data.. Raw data in the app is used directly by Hadoop apps.