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© Hortonworks Inc. 2011 – 2014. All Rights Reserved
Rescue your Big Data from Downtime with 
HP Operations Bridge and Apache Hadoop 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved 
We do Hadoop.
Your speakers… 
Ajay Singh, Director of Technical Channels 
Hortonworks 
Saumya Upadhyaya, Product Manager 
HP 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved
Big Data Trends 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved
Traditional systems under pressure 
RDBMS EDW MPP 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved 
DATA SYSTEM APPLICATIONS 
Business 
Analytics 
Custom 
Applications 
Packaged 
Applications 
• Silos of Data 
• Costly to Scale 
• Constrained Schemas 
Clickstream 
Geolocation 
Sentiment, Web Data 
Sensor. Machine Data 
Unstructured docs, 
emails 
Server logs 
SOURCES 
Existing Sources 
(CRM, ERP,…) 
New Data Types 
…and difficult to 
manage new data
HDP is deeply integrated in the data center 
YARN 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved 
DEV 
& 
DATA 
TOOLS 
OPERATIONAL 
TOOLS 
INFRASTRUCTURE 
SOURCES 
EXISTING 
Systems 
Clickstream 
Web 
&Social 
GeolocaBon 
Sensor 
& 
Machine 
Server 
Logs 
Unstructured 
DATA SYSTEM 
RDBMS 
EDW 
MPP 
HANA 
APPLICATIONS 
BusinessObjects BI 
Deep Partnerships 
Hortonworks engages 
in deep engineered relationships 
with the leaders in the data center, 
such as HP, Microsoft, Redhat, SAP, 
SAS & Teradata 
Broad Partnerships 
Over 600 partners work with us to 
certify their applications to work with 
Hadoop so they can extend big data 
to their users 
HDP 2.1 
Governance 
& Integration 
Security 
Operations 
Data Access 
Data Management
1. Unlock New Applications from New Types of Data 
INDUSTRY USE CASE Sentiment 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved 
& Web 
Clickstream 
& Behavior 
Machine 
& Sensor Geographic Server Logs Structured & 
Unstructured 
Financial Services 
New Account Risk Screens ✔ ✔ 
Trading Risk ✔ 
Insurance Underwriting ✔ ✔ ✔ 
Telecom 
Call Detail Records (CDR) ✔ ✔ 
Infrastructure Investment ✔ ✔ 
Real-time Bandwidth Allocation ✔ ✔ ✔ 
Retail 
360° View of the Customer ✔ ✔ ✔ 
Localized, Personalized Promotions ✔ 
Website Optimization ✔ 
Manufacturing 
Supply Chain and Logistics ✔ 
Assembly Line Quality Assurance ✔ 
Crowd-sourced Quality Assurance ✔ 
Healthcare 
Use Genomic Data in Medial Trials ✔ ✔ ✔ 
Monitor Patient Vitals in Real-Time 
Pharmaceuticals 
Recruit and Retain Patients for Drug Trials ✔ ✔ 
Improve Prescription Adherence ✔ ✔ ✔ ✔ 
Oil & Gas 
Unify Exploration & Production Data ✔ ✔ ✔ ✔ 
Monitor Rig Safety in Real-Time ✔ ✔ ✔ 
Government 
ETL Offload/Federal Budgetary Pressures ✔ ✔ 
Sentiment Analysis for Gov. Programs ✔
2. Or to realize a dramatic cost savings… 
EDW Optimization 
✚ 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved 
OPERATIONS 
50% 
ANALYTICS 
20% 
ETL PROCESS 
30% 
OPERATIONS 
50% ANALYTICS 
50% 
Current Reality 
EDW at capacity: some usage 
from low value workloads 
Older data archived, unavailable 
for ongoing exploration 
Source data often discarded 
Augment w/ Hadoop 
Free up EDW resources from 
low value tasks 
Keep 100% of source data and historical 
data for ongoing exploration 
Mine data for value after loading it 
because of schema-on-read 
Commodity Compute & Storage 
Hadoop Enables Scalable Compute & 
Storage at a Compelling Cost Structure 
Cloud Storage 
HADOOP 
Engineered System 
MPP 
SAN 
NAS 
$0 $20,000 $40,000 $60,000 $80,000 $180,000 
Fully-loaded Cost Per Raw TB of Data (Min–Max Cost) 
Hadoop 
Parse, Cleanse 
Apply Structure, Transform 
Storage Costs/Compute 
Costs from $19/GB to 
$0.23/GB
3. Data Lake: An architectural shift 
Unlocking the Data Lake 
SCALE SCOPE 
RDBM 
S 
MPP 
EDW 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved 
Data Lake 
Enabled by YARN 
• Single data repository, 
shared infrastructure 
• Multiple biz apps 
accessing all the data 
• Enable a shift from 
reactive to proactive 
interactions 
• Gain new insight across 
the entire enterprise 
New Analytic Apps 
or IT Optimization 
HDP 2.1 
Governance 
& Integration 
Security 
Operations 
Data Access 
YARN 
Data Management
HDP is deeply integrated in the data center 
YARN 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved 
DEV 
& 
DATA 
TOOLS 
OPERATIONAL 
TOOLS 
INFRASTRUCTURE 
SOURCES 
EXISTING 
Systems 
Clickstream 
Web 
&Social 
GeolocaBon 
Sensor 
& 
Machine 
Server 
Logs 
Unstructured 
DATA SYSTEM 
RDBMS 
EDW 
MPP 
HANA 
APPLICATIONS 
BusinessObjects BI 
Deep Partnerships 
Hortonworks engages 
in deep engineered relationships 
with the leaders in the data center, 
such as Microsoft, Teradata, Redhat, 
HP, SAS & SAP 
Broad Partnerships 
Over 600 partners work with us to 
certify their applications to work with 
Hadoop so they can extend big data 
to their users 
HDP 2.1 Governance 
& Integration 
Security 
Operations 
Data Access 
Data Management
Hortonworks Data Platform 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved
The 1st Generation of Hadoop: Batch 
HADOOP 1.0 
Built for Web-Scale Batch Apps 
Single 
App 
INTERACTIVE 
Single 
App 
BATCH 
HDFS 
Single 
App 
BATCH 
HDFS 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved 
• All other usage patterns 
must leverage that same 
infrastructure 
• Forces the creation of silos 
for managing mixed 
workloads 
Single 
App 
ONLINE 
Single 
App 
BATCH 
HDFS
2006 2009 
Hadoop 
w/ 
MapReduce 
MapReduce 
Largely 
Batch 
Processing 
HDFS 
MR-­‐279: 
YARN 
1 
° 
° 
° 
° 
° 
(Hadoop 
Distributed 
File 
System) 
° 
° 
° 
° 
° 
N 
Hadoop2 & YARN based Architecture 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved 
YARN: Data Operating System 
1 
° 
° 
° 
° 
° 
° 
° 
° 
° 
° 
° 
° 
° 
° 
° 
° 
° 
° 
° 
N° 
HDFS 
(Hadoop Distributed File System) 
Silo’d clusters 
Largely batch system 
Difficult to integrate 
Hadoop 2 & YARN 
Batch Interactive Real-Time 
Architected & 
led development 
of YARN to enable 
the Modern Data 
Architecture 
October 23, 2013
A Blueprint for Enterprise Hadoop 
Load data 
and manage 
according 
to policy 
PRESENTATION & APPLICATION 
ENTERPRISE MGMT & SECURITY 
DATA ACCESS SECURITY 
Access your data simultaneously in multiple ways 
(batch, interactive, real-time) Provide layered 
YARN Data Operating System 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved 
Deploy and 
effectively 
manage the 
platform 
Store and process all of your Corporate Data Assets 
approach to 
security through 
Authentication, 
Authorization, 
Accounting, and 
Data Protection 
DATA MANAGEMENT 
GOVERNANCE 
& 
INTEGRATION 
OPERATIONS 
Enable both existing and new application to 
provide value to the organization 
Empower existing operations and 
security tools to manage Hadoop 
Provide deployment choice across physical, virtual, 
cloud 
DEPLOYMENT OPTIONS
HDP delivers a comprehensive data management platform 
BATCH, INTERACTIVE & REAL-TIME SECURITY 
DATA ACCESS 
TezTez 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved 
YARN is the architectural 
center of HDP 
• Enables batch, interactive 
and real-time workloads 
• Single SQL engine for both batch 
and interactive 
• Enable existing ISV apps to plug 
directly into Hadoop via YARN 
Provides comprehensive 
enterprise capabilities 
• Governance 
• Security 
• Operations 
The widest range of 
deployment options 
• Linux & Windows 
• On premise & cloud 
HDP 2.1 
Hortonworks Data Platform 
Provision, 
Manage & 
Monitor 
Ambari 
Zookeeper 
Scheduling 
Oozie 
Data Workflow, 
Lifecycle & 
Governance 
Falcon 
Sqoop 
Flume 
NFS 
WebHDFS 
In-Memory 
Spark 
YARN: Data Operating System 
DATA MANAGEMENT 
GOVERNANCE 
& 
INTEGRATION 
Authentication 
Authorization 
Accounting 
Data Protection 
Storage: HDFS 
Resources: YARN 
Access: Hive, … 
Pipeline: Falcon 
Cluster: Knox 
OPERATIONS 
Script 
Pig 
Search 
Solr 
SQL 
Hive 
HCatalog 
NoSQL 
HBase 
Accumulo 
Stream 
Storm 
Others 
ISV 
Engines 
1 ° ° ° ° ° ° ° ° ° 
° ° ° ° ° ° ° ° ° ° 
° ° ° ° ° ° ° ° ° ° 
° 
° 
N 
HDFS 
(Hadoop Distributed File System) 
Deployment Choice 
Linux Windows On-Premise Cloud
Apache Ambari 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved
How do you Operate a Hadoop Cluster? 
Apache Ambari is a 
platform to provision, 
manage and monitor 
Hadoop clusters 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved
Innovation at the Speed of Community 
An active 100% open source Community: 
• 90+ Contributors / 45+ Committers 
• 270+ Ambari User Group Members 
Graduates to Apache Top Level Project 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved 
2013 
Dec
Apache Ambari Themes 
Operate 
Hadoop 
at 
Scale 
Deliver 
the 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved 
core 
opera@onal 
capabili@es 
to 
provision, 
manage 
and 
monitor 
Hadoop 
clusters 
at 
scale. 
Integrate 
with 
the 
Enterprise 
Robust 
API 
for 
integra@on 
with 
exisBng 
enterprise 
systems, 
such 
as 
Teradata 
Viewpoint, 
HP 
OperaBons 
Bridge 
and 
MicrosoY 
SCOM. 
Extend 
for 
the 
Ecosystem 
Provide 
extensible 
pla[orm 
for 
Customers, 
Partners 
and 
the 
Community 
using 
Stacks 
and 
Views.
Hadoop Operations Platform 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved 
Apache Ambari is a 100% open source platform for 
provisioning, managing and monitoring Apache Hadoop 
clusters 
AMBARI 
WEB 
HP 
Opera)ons 
Bridge 
compute 
& 
. . . 
storage . . . 
. . compute 
& 
storage 
. 
EXTEND . 
AMBARI 
REST 
API 
AMBARI 
SERVER 
PROVISION 
| 
MANAGE 
| 
MONITOR 
IntegraBon 
with 
ExisBng 
Tools 
OPERATE 
AMBARI 
STACKS
Cluster Operations 
Start, 
Stop 
and 
Smoke 
Test 
Services 
Apply 
configuraBon 
changes 
and 
inject 
custom 
properBes 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved
Configuration Management 
Ability to update core-site.xml properties 
Add and Remove custom properties 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved
Host Level Visibility + Controls 
View System Metrics and Host Information 
Manage Host Components, including start/stop/decommission 
“Add Hosts” to expand cluster capacity 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved
Cluster Heatmaps 
Gain health visibility of entire cluster 
Quickly identify host outliers and potential issues 
Includes both System and Hadoop Metric Heatmaps 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved
Hadoop Metrics 
Hadoop Service metrics such as HDFS, MapReduce and HBase 
Visibility info DFS capacity, file operations, RPC latency and JVM 
performance 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved
Hadoop + System Monitoring 
• Watch key Hadoop operational metrics for 
all services 
• Master service availability, CPU utilization, 
network latency, storage capacity 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved 
© Hortonworks Inc. 2014 
• Host-level alerting 
• Component service processes and storage 
availability
Customizable Metrics Dashboard 
Watch key System and Hadoop metrics 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved
Extensibility Features 
Goal: Extend Ambari without hard-coding in Ambari 
• To add new Services (ISV or otherwise) beyond HDP Stack 
• To customize a Stack for customer specific environments 
• To use Ambari for automating cluster installations 
• To share best practices on layout and cluster configuration 
• To extend and customize the Ambari Web UI 
• Add new capabilities, customize existing capabilities 
Stacks 
Blueprints 
Views 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved
Bringing it all together 
HP Operations Bridge 
© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
No context = high risk 
Traditional Private Managed Public 
© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 30 without notice. 
High Opex 
Point Tools 
Uncorrelated 
Silos 
Slow Triage 
Inaccurate 
Reports 
Inefficient 
Sea of red 
What’s going wrong?
The typical challenge – application siloes 
Application performance 
monitored by customers 2 
No link between 
infrastructure and 
application worlds 
4 
Can’t do automated 
remediation – not 
totally sure of root 
cause 
5 • Slow resolution 
Can’t consolidate 
performance data 
to drive planning 
Silo-ed health management and 
1 Silo-ed view of what’s happening 
© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 31 without notice. 
• Not business aligned 
• Not people efficient 
• Poor planning & optimization 
• Monitoring duplication 
3
3 Steps to deliver 
business SLAs 
© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
Solution: ACT - Aggregate 
• Single pane of glass across performance, events & topology 
• Consolidate the data across all point tools & applications 
Single pane of glass 
Access from anywhere 
Role driven 
Simple navigation 
Drill down to detail 
Integrations 
Biz Impact aware 
Traditional to New Style of IT 
Depth via Management Packs 
Breadth via Connectors & 
HP portfolio 
© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 33 without notice. 
Event Detection & 
Enrichment 
Event Correlation & 
Business Impact 
Incident Submission 
Recovery & Closure 
Investigation & 
Diagnosis 
Resolution 
Closed Loop Management 
Integrated in IT processes 
Bi-Directional integration of 
HP & 3rd party tools 
Downtime & Assets synchronized via 
common repository 
www.hp.com/go/hpln
Visibility into your Hortonworks Hadoop Environment 
Leverage Apache Ambari & OpsBridge interfaces for integration 
BSM Connector for Apache Ambari 
© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 34 without notice. 
Topology Events
Solution: ACT - Control 
• Correlate data to find root cause via the RTSM 
• Automated actions & monitoring 
Monitoring 
Self-maintaining monitoring 
Tool & Application Agnostic1 
SME self-service portal 
Centralized Config & Reports 
Remediation 
Link to CI or root cause 
Custom Actions or 
Run Book Automation2 
No Operator involvement 
© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 35 without notice. 
Predictive3 
Automated baselining 
Identify anomalies 
Proactive alerting 
Across BSM data (HP & 3rd party) 
1) SiS, ArcSight, OM Agents, Oracle, MS-SQL, HP Cloud, Vertica, Hadoop 
2) Enabled through integration i.e. HP Operations Orchestration 
3) Enabled through integration with Service Health Analyzer
Simplify IT Operations 
Out of the box monitoring deployment, orchestration & ticketing integrations 
Customizable Dashboard 
Topology Events 
Save expensive expert personnel hours by 
• Identifying actionable events through correlation 
• Automate remediation of frequent, batch events 
• Automate ticket creation to the right audience 
© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 36 without notice. 
Service Desk 
Orchestrate 
Analyze
Solution: ACT - Team 
• Collaborate across silos & teams 
• Gamify to engage operators and unlock efficiencies 
Achievements 
• Motivate Users 
• Guide desired behavior 
• Explore the product 
Experts Board 
• Identify experts per area 
• Improve collaboration 
• Increase efficiency 
© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 37 without notice. 
More to Come… 
• Exploration Map 
• Custom rewards 
• Challenges 
• Social features
What Hortonworks & HP Software are doing 
Managing Big Data for efficient Digital Business 
New HP Operations Bridge for Apache AMBARI 
• Native AMBARI API integration 
• Provisioning, managing and monitoring Apache Hadoop 
clusters 
• Supports HortonWorks Data Platform i.e. HDFS, Yarn, Hbase, 
… 
• Events and topology from the above 
Gain even more value capabilities using 
HP Operations Bridge Hadoop Management Pack 
• Events, topology, metrics for Hadoop HDFS and MapReduce 
• Management cockpit dashboards 
• OOTB SHR Content report packs 
© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 38 without notice. 
NEW 
BSM Connector for Apache Ambari 
Download free at HP Live Network
Applying Predictive IT Operations to Hadoop 
Automated Predictive Operations1 and HortonWorks Data Platform integrations 
HP Operations Bridge 
Topology Events 
Automated 
Remediation 
Automated 
Tickets 
Operations 
Analytics 
HP Operations 
BSriimdpglifey Unify, Automate 
your WebScale 
IT 
Save expensive expert personnel hours by 
• Identifying actionable events through correlation 
• Automate remediation of frequent, batch events 
• Automate ticket creation to the right audience 
1 –Requires OpsBridge used in BSM configuration and Hadoop Management pack 
© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 39 without notice.
Wide Coverage of Tools & Application Coverage 
Out of the box | 46+ domains covered today | expanding rapidly 
AIX CentOS Cluster Debian HPUX HyperV IBM LPAR KVM 
RedHat Oracle Ent. 
Citrix 
Linux Solaris Solaris Zone Suse Ubuntu VMWare 
vSphere Windows XEN 
Infrastructure 
Applications Oracle DB Oracle RAC SQL Server SAP 
Sybase MS Exchange IBM 
Websphere 
WMQ Siebel Documentum 
Apache 
Webserver MS IIS SunOne iPlanet TIBCO 
JBOSS MS Lync MS 
Sharepoint MS Biztalk Oracle AS Informix Peoplesoft Tuxedo 
Big Data & Cloud HP Cloud Amazon Web 
SAP HANA 
DB 
Vertica DB 
Weblogic 
Services 
AD 
Ticketing Remedy Radia 
integrations HP ITSM Service Now 
Impact 
Manager 
AppDynamics Aternity CA Spectrum 
CollectD SIM IBM Tivoli MS SCOM 
3rd Party 
Integrations 
Solarwinds VC 
Nagios OEM Ops Zabbix ZenOSS xMatters 
© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 40 without notice. 
Supported with 
OMi 
Supported with 
OM only 
DB2 
Domino 
MS SCOM 
Apache 
Ambari
HP Software and Hortonworks 
Managing Big Data for efficient Digital Business 
Demo 
Remedial action 
© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 41 without notice. 
Predicted anomaly 
alert slow 
response 
marketing analysis 
Operations 
Bridge 
+ 
HDP AMBARI 
Operator notices 
Hbase alert via 
AMBARI 
integration 
Dependency 
confirmed in 
Service tree 
ticket opened 
Hadoop admin 
sees ticket + 
context 
taken 
(manual or 
automatic) 
Marketing Analysis 
Performance 
v 
v
HP Operations Bridge allows you to “ACT” 
Simplifying your complex world 
Aggregate 
• Single pane of glass across performance, events & topology 
• Consolidate the data across all point tools & applications 
Control 
• Correlate data to find root cause via the RTSM 
• Automate actions & monitoring 
Team 
• Collaborate across silos & teams 
• Gamify to engage operators and unlock efficiencies 
© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 42 without notice.
Tangible benefits 
© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 43 without notice. 
30% reduction in help 
desk call 
60%+ reduction in 
cumulative monthly 
downtime 
90% reduction in 
Time to Restore 
Service 
30% reduced cost 
• Single consolidated view of domain managers 
• model-driven, X-domain reporting & forecasting 
60% increased availability 
• Advanced business aware & model driven 
correlation 
• Faster identification of root cause 
• More efficient operations 
90% improved efficiency 
• Single dashboard frees staff time for innovation 
• consolidated information 
• high degree of automation
Get more information 
Check out the OpsBridge Web Page 
• www.hp.com/go/OpsBridge 
Check out the latest OpsBridge Integration Content 
• https://hpln.hp.com/group/operations-bridge 
Check out the latest webinars / hangouts 
• Operations Bridge Hangout, Operations Bridge Webinar 
• Webinar “Learn how DIRECTV Embraced deep-dive tools for end-to-end 
visibility across IT” (link) 
• Webinar “Look No Hands - How Automation benefits IT Operations in 
Data Centers at Sykehuspartner and PlayTech” (Coming on Nov 19, 
2014) 
• OpsBridge announcements at HP Discover (Coming on Dec 17, 
2014) 
Check out the latest #HPBSM blogs 
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 44 without notice.
Next Steps… 
More about HP & Hortonworks 
http://hortonworks.com/partner/HP/ 
Download the Hortonworks Sandbox 
Learn Hadoop 
Build Your Analytic App 
Try Hadoop 2 
Contact us: events@hortonworks.com 
© Hortonworks Inc. 2011 – 2014. All Rights Reserved

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Rescue your Big Data from Downtime with HP Operations Bridge and Apache Hadoop

  • 1. We’ll get started soon… Q&A box is available for your questions Webinar will be recorded for future viewing Thank you for joining! © Hortonworks Inc. 2011 – 2014. All Rights Reserved
  • 2. Rescue your Big Data from Downtime with HP Operations Bridge and Apache Hadoop © Hortonworks Inc. 2011 – 2014. All Rights Reserved We do Hadoop.
  • 3. Your speakers… Ajay Singh, Director of Technical Channels Hortonworks Saumya Upadhyaya, Product Manager HP © Hortonworks Inc. 2011 – 2014. All Rights Reserved
  • 4. Big Data Trends © Hortonworks Inc. 2011 – 2014. All Rights Reserved
  • 5. Traditional systems under pressure RDBMS EDW MPP © Hortonworks Inc. 2011 – 2014. All Rights Reserved DATA SYSTEM APPLICATIONS Business Analytics Custom Applications Packaged Applications • Silos of Data • Costly to Scale • Constrained Schemas Clickstream Geolocation Sentiment, Web Data Sensor. Machine Data Unstructured docs, emails Server logs SOURCES Existing Sources (CRM, ERP,…) New Data Types …and difficult to manage new data
  • 6. HDP is deeply integrated in the data center YARN © Hortonworks Inc. 2011 – 2014. All Rights Reserved DEV & DATA TOOLS OPERATIONAL TOOLS INFRASTRUCTURE SOURCES EXISTING Systems Clickstream Web &Social GeolocaBon Sensor & Machine Server Logs Unstructured DATA SYSTEM RDBMS EDW MPP HANA APPLICATIONS BusinessObjects BI Deep Partnerships Hortonworks engages in deep engineered relationships with the leaders in the data center, such as HP, Microsoft, Redhat, SAP, SAS & Teradata Broad Partnerships Over 600 partners work with us to certify their applications to work with Hadoop so they can extend big data to their users HDP 2.1 Governance & Integration Security Operations Data Access Data Management
  • 7. 1. Unlock New Applications from New Types of Data INDUSTRY USE CASE Sentiment © Hortonworks Inc. 2011 – 2014. All Rights Reserved & Web Clickstream & Behavior Machine & Sensor Geographic Server Logs Structured & Unstructured Financial Services New Account Risk Screens ✔ ✔ Trading Risk ✔ Insurance Underwriting ✔ ✔ ✔ Telecom Call Detail Records (CDR) ✔ ✔ Infrastructure Investment ✔ ✔ Real-time Bandwidth Allocation ✔ ✔ ✔ Retail 360° View of the Customer ✔ ✔ ✔ Localized, Personalized Promotions ✔ Website Optimization ✔ Manufacturing Supply Chain and Logistics ✔ Assembly Line Quality Assurance ✔ Crowd-sourced Quality Assurance ✔ Healthcare Use Genomic Data in Medial Trials ✔ ✔ ✔ Monitor Patient Vitals in Real-Time Pharmaceuticals Recruit and Retain Patients for Drug Trials ✔ ✔ Improve Prescription Adherence ✔ ✔ ✔ ✔ Oil & Gas Unify Exploration & Production Data ✔ ✔ ✔ ✔ Monitor Rig Safety in Real-Time ✔ ✔ ✔ Government ETL Offload/Federal Budgetary Pressures ✔ ✔ Sentiment Analysis for Gov. Programs ✔
  • 8. 2. Or to realize a dramatic cost savings… EDW Optimization ✚ © Hortonworks Inc. 2011 – 2014. All Rights Reserved OPERATIONS 50% ANALYTICS 20% ETL PROCESS 30% OPERATIONS 50% ANALYTICS 50% Current Reality EDW at capacity: some usage from low value workloads Older data archived, unavailable for ongoing exploration Source data often discarded Augment w/ Hadoop Free up EDW resources from low value tasks Keep 100% of source data and historical data for ongoing exploration Mine data for value after loading it because of schema-on-read Commodity Compute & Storage Hadoop Enables Scalable Compute & Storage at a Compelling Cost Structure Cloud Storage HADOOP Engineered System MPP SAN NAS $0 $20,000 $40,000 $60,000 $80,000 $180,000 Fully-loaded Cost Per Raw TB of Data (Min–Max Cost) Hadoop Parse, Cleanse Apply Structure, Transform Storage Costs/Compute Costs from $19/GB to $0.23/GB
  • 9. 3. Data Lake: An architectural shift Unlocking the Data Lake SCALE SCOPE RDBM S MPP EDW © Hortonworks Inc. 2011 – 2014. All Rights Reserved Data Lake Enabled by YARN • Single data repository, shared infrastructure • Multiple biz apps accessing all the data • Enable a shift from reactive to proactive interactions • Gain new insight across the entire enterprise New Analytic Apps or IT Optimization HDP 2.1 Governance & Integration Security Operations Data Access YARN Data Management
  • 10. HDP is deeply integrated in the data center YARN © Hortonworks Inc. 2011 – 2014. All Rights Reserved DEV & DATA TOOLS OPERATIONAL TOOLS INFRASTRUCTURE SOURCES EXISTING Systems Clickstream Web &Social GeolocaBon Sensor & Machine Server Logs Unstructured DATA SYSTEM RDBMS EDW MPP HANA APPLICATIONS BusinessObjects BI Deep Partnerships Hortonworks engages in deep engineered relationships with the leaders in the data center, such as Microsoft, Teradata, Redhat, HP, SAS & SAP Broad Partnerships Over 600 partners work with us to certify their applications to work with Hadoop so they can extend big data to their users HDP 2.1 Governance & Integration Security Operations Data Access Data Management
  • 11. Hortonworks Data Platform © Hortonworks Inc. 2011 – 2014. All Rights Reserved
  • 12. The 1st Generation of Hadoop: Batch HADOOP 1.0 Built for Web-Scale Batch Apps Single App INTERACTIVE Single App BATCH HDFS Single App BATCH HDFS © Hortonworks Inc. 2011 – 2014. All Rights Reserved • All other usage patterns must leverage that same infrastructure • Forces the creation of silos for managing mixed workloads Single App ONLINE Single App BATCH HDFS
  • 13. 2006 2009 Hadoop w/ MapReduce MapReduce Largely Batch Processing HDFS MR-­‐279: YARN 1 ° ° ° ° ° (Hadoop Distributed File System) ° ° ° ° ° N Hadoop2 & YARN based Architecture © Hortonworks Inc. 2011 – 2014. All Rights Reserved YARN: Data Operating System 1 ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° N° HDFS (Hadoop Distributed File System) Silo’d clusters Largely batch system Difficult to integrate Hadoop 2 & YARN Batch Interactive Real-Time Architected & led development of YARN to enable the Modern Data Architecture October 23, 2013
  • 14. A Blueprint for Enterprise Hadoop Load data and manage according to policy PRESENTATION & APPLICATION ENTERPRISE MGMT & SECURITY DATA ACCESS SECURITY Access your data simultaneously in multiple ways (batch, interactive, real-time) Provide layered YARN Data Operating System © Hortonworks Inc. 2011 – 2014. All Rights Reserved Deploy and effectively manage the platform Store and process all of your Corporate Data Assets approach to security through Authentication, Authorization, Accounting, and Data Protection DATA MANAGEMENT GOVERNANCE & INTEGRATION OPERATIONS Enable both existing and new application to provide value to the organization Empower existing operations and security tools to manage Hadoop Provide deployment choice across physical, virtual, cloud DEPLOYMENT OPTIONS
  • 15. HDP delivers a comprehensive data management platform BATCH, INTERACTIVE & REAL-TIME SECURITY DATA ACCESS TezTez © Hortonworks Inc. 2011 – 2014. All Rights Reserved YARN is the architectural center of HDP • Enables batch, interactive and real-time workloads • Single SQL engine for both batch and interactive • Enable existing ISV apps to plug directly into Hadoop via YARN Provides comprehensive enterprise capabilities • Governance • Security • Operations The widest range of deployment options • Linux & Windows • On premise & cloud HDP 2.1 Hortonworks Data Platform Provision, Manage & Monitor Ambari Zookeeper Scheduling Oozie Data Workflow, Lifecycle & Governance Falcon Sqoop Flume NFS WebHDFS In-Memory Spark YARN: Data Operating System DATA MANAGEMENT GOVERNANCE & INTEGRATION Authentication Authorization Accounting Data Protection Storage: HDFS Resources: YARN Access: Hive, … Pipeline: Falcon Cluster: Knox OPERATIONS Script Pig Search Solr SQL Hive HCatalog NoSQL HBase Accumulo Stream Storm Others ISV Engines 1 ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° N HDFS (Hadoop Distributed File System) Deployment Choice Linux Windows On-Premise Cloud
  • 16. Apache Ambari © Hortonworks Inc. 2011 – 2014. All Rights Reserved
  • 17. How do you Operate a Hadoop Cluster? Apache Ambari is a platform to provision, manage and monitor Hadoop clusters © Hortonworks Inc. 2011 – 2014. All Rights Reserved
  • 18. Innovation at the Speed of Community An active 100% open source Community: • 90+ Contributors / 45+ Committers • 270+ Ambari User Group Members Graduates to Apache Top Level Project © Hortonworks Inc. 2011 – 2014. All Rights Reserved 2013 Dec
  • 19. Apache Ambari Themes Operate Hadoop at Scale Deliver the © Hortonworks Inc. 2011 – 2014. All Rights Reserved core opera@onal capabili@es to provision, manage and monitor Hadoop clusters at scale. Integrate with the Enterprise Robust API for integra@on with exisBng enterprise systems, such as Teradata Viewpoint, HP OperaBons Bridge and MicrosoY SCOM. Extend for the Ecosystem Provide extensible pla[orm for Customers, Partners and the Community using Stacks and Views.
  • 20. Hadoop Operations Platform © Hortonworks Inc. 2011 – 2014. All Rights Reserved Apache Ambari is a 100% open source platform for provisioning, managing and monitoring Apache Hadoop clusters AMBARI WEB HP Opera)ons Bridge compute & . . . storage . . . . . compute & storage . EXTEND . AMBARI REST API AMBARI SERVER PROVISION | MANAGE | MONITOR IntegraBon with ExisBng Tools OPERATE AMBARI STACKS
  • 21. Cluster Operations Start, Stop and Smoke Test Services Apply configuraBon changes and inject custom properBes © Hortonworks Inc. 2011 – 2014. All Rights Reserved
  • 22. Configuration Management Ability to update core-site.xml properties Add and Remove custom properties © Hortonworks Inc. 2011 – 2014. All Rights Reserved
  • 23. Host Level Visibility + Controls View System Metrics and Host Information Manage Host Components, including start/stop/decommission “Add Hosts” to expand cluster capacity © Hortonworks Inc. 2011 – 2014. All Rights Reserved
  • 24. Cluster Heatmaps Gain health visibility of entire cluster Quickly identify host outliers and potential issues Includes both System and Hadoop Metric Heatmaps © Hortonworks Inc. 2011 – 2014. All Rights Reserved
  • 25. Hadoop Metrics Hadoop Service metrics such as HDFS, MapReduce and HBase Visibility info DFS capacity, file operations, RPC latency and JVM performance © Hortonworks Inc. 2011 – 2014. All Rights Reserved
  • 26. Hadoop + System Monitoring • Watch key Hadoop operational metrics for all services • Master service availability, CPU utilization, network latency, storage capacity © Hortonworks Inc. 2011 – 2014. All Rights Reserved © Hortonworks Inc. 2014 • Host-level alerting • Component service processes and storage availability
  • 27. Customizable Metrics Dashboard Watch key System and Hadoop metrics © Hortonworks Inc. 2011 – 2014. All Rights Reserved
  • 28. Extensibility Features Goal: Extend Ambari without hard-coding in Ambari • To add new Services (ISV or otherwise) beyond HDP Stack • To customize a Stack for customer specific environments • To use Ambari for automating cluster installations • To share best practices on layout and cluster configuration • To extend and customize the Ambari Web UI • Add new capabilities, customize existing capabilities Stacks Blueprints Views © Hortonworks Inc. 2011 – 2014. All Rights Reserved
  • 29. Bringing it all together HP Operations Bridge © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
  • 30. No context = high risk Traditional Private Managed Public © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 30 without notice. High Opex Point Tools Uncorrelated Silos Slow Triage Inaccurate Reports Inefficient Sea of red What’s going wrong?
  • 31. The typical challenge – application siloes Application performance monitored by customers 2 No link between infrastructure and application worlds 4 Can’t do automated remediation – not totally sure of root cause 5 • Slow resolution Can’t consolidate performance data to drive planning Silo-ed health management and 1 Silo-ed view of what’s happening © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 31 without notice. • Not business aligned • Not people efficient • Poor planning & optimization • Monitoring duplication 3
  • 32. 3 Steps to deliver business SLAs © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
  • 33. Solution: ACT - Aggregate • Single pane of glass across performance, events & topology • Consolidate the data across all point tools & applications Single pane of glass Access from anywhere Role driven Simple navigation Drill down to detail Integrations Biz Impact aware Traditional to New Style of IT Depth via Management Packs Breadth via Connectors & HP portfolio © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 33 without notice. Event Detection & Enrichment Event Correlation & Business Impact Incident Submission Recovery & Closure Investigation & Diagnosis Resolution Closed Loop Management Integrated in IT processes Bi-Directional integration of HP & 3rd party tools Downtime & Assets synchronized via common repository www.hp.com/go/hpln
  • 34. Visibility into your Hortonworks Hadoop Environment Leverage Apache Ambari & OpsBridge interfaces for integration BSM Connector for Apache Ambari © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 34 without notice. Topology Events
  • 35. Solution: ACT - Control • Correlate data to find root cause via the RTSM • Automated actions & monitoring Monitoring Self-maintaining monitoring Tool & Application Agnostic1 SME self-service portal Centralized Config & Reports Remediation Link to CI or root cause Custom Actions or Run Book Automation2 No Operator involvement © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 35 without notice. Predictive3 Automated baselining Identify anomalies Proactive alerting Across BSM data (HP & 3rd party) 1) SiS, ArcSight, OM Agents, Oracle, MS-SQL, HP Cloud, Vertica, Hadoop 2) Enabled through integration i.e. HP Operations Orchestration 3) Enabled through integration with Service Health Analyzer
  • 36. Simplify IT Operations Out of the box monitoring deployment, orchestration & ticketing integrations Customizable Dashboard Topology Events Save expensive expert personnel hours by • Identifying actionable events through correlation • Automate remediation of frequent, batch events • Automate ticket creation to the right audience © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 36 without notice. Service Desk Orchestrate Analyze
  • 37. Solution: ACT - Team • Collaborate across silos & teams • Gamify to engage operators and unlock efficiencies Achievements • Motivate Users • Guide desired behavior • Explore the product Experts Board • Identify experts per area • Improve collaboration • Increase efficiency © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 37 without notice. More to Come… • Exploration Map • Custom rewards • Challenges • Social features
  • 38. What Hortonworks & HP Software are doing Managing Big Data for efficient Digital Business New HP Operations Bridge for Apache AMBARI • Native AMBARI API integration • Provisioning, managing and monitoring Apache Hadoop clusters • Supports HortonWorks Data Platform i.e. HDFS, Yarn, Hbase, … • Events and topology from the above Gain even more value capabilities using HP Operations Bridge Hadoop Management Pack • Events, topology, metrics for Hadoop HDFS and MapReduce • Management cockpit dashboards • OOTB SHR Content report packs © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 38 without notice. NEW BSM Connector for Apache Ambari Download free at HP Live Network
  • 39. Applying Predictive IT Operations to Hadoop Automated Predictive Operations1 and HortonWorks Data Platform integrations HP Operations Bridge Topology Events Automated Remediation Automated Tickets Operations Analytics HP Operations BSriimdpglifey Unify, Automate your WebScale IT Save expensive expert personnel hours by • Identifying actionable events through correlation • Automate remediation of frequent, batch events • Automate ticket creation to the right audience 1 –Requires OpsBridge used in BSM configuration and Hadoop Management pack © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 39 without notice.
  • 40. Wide Coverage of Tools & Application Coverage Out of the box | 46+ domains covered today | expanding rapidly AIX CentOS Cluster Debian HPUX HyperV IBM LPAR KVM RedHat Oracle Ent. Citrix Linux Solaris Solaris Zone Suse Ubuntu VMWare vSphere Windows XEN Infrastructure Applications Oracle DB Oracle RAC SQL Server SAP Sybase MS Exchange IBM Websphere WMQ Siebel Documentum Apache Webserver MS IIS SunOne iPlanet TIBCO JBOSS MS Lync MS Sharepoint MS Biztalk Oracle AS Informix Peoplesoft Tuxedo Big Data & Cloud HP Cloud Amazon Web SAP HANA DB Vertica DB Weblogic Services AD Ticketing Remedy Radia integrations HP ITSM Service Now Impact Manager AppDynamics Aternity CA Spectrum CollectD SIM IBM Tivoli MS SCOM 3rd Party Integrations Solarwinds VC Nagios OEM Ops Zabbix ZenOSS xMatters © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 40 without notice. Supported with OMi Supported with OM only DB2 Domino MS SCOM Apache Ambari
  • 41. HP Software and Hortonworks Managing Big Data for efficient Digital Business Demo Remedial action © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 41 without notice. Predicted anomaly alert slow response marketing analysis Operations Bridge + HDP AMBARI Operator notices Hbase alert via AMBARI integration Dependency confirmed in Service tree ticket opened Hadoop admin sees ticket + context taken (manual or automatic) Marketing Analysis Performance v v
  • 42. HP Operations Bridge allows you to “ACT” Simplifying your complex world Aggregate • Single pane of glass across performance, events & topology • Consolidate the data across all point tools & applications Control • Correlate data to find root cause via the RTSM • Automate actions & monitoring Team • Collaborate across silos & teams • Gamify to engage operators and unlock efficiencies © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 42 without notice.
  • 43. Tangible benefits © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 43 without notice. 30% reduction in help desk call 60%+ reduction in cumulative monthly downtime 90% reduction in Time to Restore Service 30% reduced cost • Single consolidated view of domain managers • model-driven, X-domain reporting & forecasting 60% increased availability • Advanced business aware & model driven correlation • Faster identification of root cause • More efficient operations 90% improved efficiency • Single dashboard frees staff time for innovation • consolidated information • high degree of automation
  • 44. Get more information Check out the OpsBridge Web Page • www.hp.com/go/OpsBridge Check out the latest OpsBridge Integration Content • https://hpln.hp.com/group/operations-bridge Check out the latest webinars / hangouts • Operations Bridge Hangout, Operations Bridge Webinar • Webinar “Learn how DIRECTV Embraced deep-dive tools for end-to-end visibility across IT” (link) • Webinar “Look No Hands - How Automation benefits IT Operations in Data Centers at Sykehuspartner and PlayTech” (Coming on Nov 19, 2014) • OpsBridge announcements at HP Discover (Coming on Dec 17, 2014) Check out the latest #HPBSM blogs © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change 44 without notice.
  • 45. Next Steps… More about HP & Hortonworks http://hortonworks.com/partner/HP/ Download the Hortonworks Sandbox Learn Hadoop Build Your Analytic App Try Hadoop 2 Contact us: events@hortonworks.com © Hortonworks Inc. 2011 – 2014. All Rights Reserved