Traditional data management is changing rapidly, attributed to significant changes brought on by evolving big data environments. IT complexity is on the rise as businesses choose the technologies they need to support their big data strategies and targeted business outcomes. Now, more than ever, we need IT management tools that can accommodate and effectively manage these evolving, complex environments to ensure that enterprises can move forward with their preferred technology and vendor choices. For more information on Mainframe solutions from CA Technologies, please visit: http://bit.ly/1wbiPkl

1. Mainframe
Big Data Management: A Unified
Approach to Drive Business Results
David Hodgson
CA Technologies
SVP, Business Unit Executive
Bala Venkatrao
Cloudera
Director of Products
MFT04S @dmgh7 #CAWorld

2. Abstract
Traditional data management is changing rapidly
attributed to significant changes brought on by evolving
big data environments. IT complexity is on the rise as
businesses choose the technologies they need to support
their big data strategies and targeted business outcomes.
Now, more than ever, we need IT management tools that
can accommodate and effectively manage these evolving,
complex environments to ensure that enterprises can
move forward with their preferred technology and vendor
choices.
David
Hodgson
CA Technologies
SVP, Business Unit
Executive
Mainframe Business Unit
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3. Agenda
MARKET CHANGES AFFECTING ENTERPRISE IT INVESTMENTS
GAPS/COMPLEXITIES MANAGING THESE ENVIRONMENTS
360 DEGREE BIG DATA INFRASTRUCTURE MANAGEMENT APPROACH
CLOUDERA’S BIG DATA PLATFORM
SUMMARY
RECOMMENDED SESSIONS / RELATED ACTIVITIES
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4. Market Changes Affecting Enterprise IT Investments
Big Data is Forcing Change
Source: Allied Market Research, March 2014, Lita Person, Link to article
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 Hadoop is a distributed processing technology used for Big Data analysis.
 Hadoop market is expanding at a significant rate
 Global Hadoop market was valued at $1.5 billion in 2012, and is expected
to grow at a CAGR of 58.2% during 2013 to 2020 to reach $50.2 billion by
2020.
 Traditional data management has evolved to Big Data Management
 Traditional database technologies are evolving from structured data to
unstructured and semi-structured data.
 Gartner for the first time accepted non-relational technologies–including
those based on Hadoop and NoSQL–in its annual Magic Quadrant for Data
Warehouses report.
Source: datanami, March 13, 2014, Alex Woodie, Link to article

5. 1 Enterprises Ahead in Big Data Initiatives
Big Data Survey Shows Significant Momentum in Big Data Adoption
Survey Category:
Is your company currently implementing, planning or considering Big Data projects (i.e.
developing strategies and projects to generate more value from existing data)?
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<1,000 1,000+
SMB Enterprise
Survey Question SMB % Enterprise%
Have already implemented big data projects 9 16
Have started implementation of big data projects 12 20
Plans are in place to start projects over the next 12 months 10 10
Are considering to begin big data projects next year 9 12
No plans right now but likely to start projects in future 15 12
No plans as of now 44 30
Total % of Big Data projects implemented or planning phase 55 % 70 %

6. Gaps/Complexities Managing these Environments
Getting started with your Big Data projects may seem fairly easy…BUT…
 To keep costs down, you might start with the basic Hadoop distribution from
Apache and maybe a free tool or two
 You choose several products from multiple vendors for their unique value props.
 You eventually evolve to a commercial big data platform and additional database
technologies to support your evolving business needs.
…by the time you are ready to put this to productive use,
you have a huge number of moving parts, tools from
many vendors and a ton of complexity
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7. 2 Gaps/Complexities Managing these Environments
 Management
Challenges
– Shortage of Hadoop/Big Data
experts and other skill sets
– Capacity requirements for
rapidly changing business
needs
– Manual processes
– System problems hard to
isolate across the mixed
environment
– Unique tools /shortcomings
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8. Our Vision - Big Data Infrastructure Management
Extending our IT Management Leadership
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9. Our Vision - Big Data Infrastructure Management
Extending our IT Management Leadership
LAS VEGAS, November 10, 2014 — CA WORLD ’14 — CA Technologies (NASDAQ:CA) today
announced a new global distribution agreement with Veristorm, a software company focused on Big
Data management. The agreement strengthens CA’s ability to help customers leverage key
business data on the mainframe for Big Data and analytics projects.
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“It’s extremely difficult for data scientists, Chief
Marketing Officers (CMOs) and other stakeholders to
get access to their raw System z data in tandem with
machine logs and other types of transactional
information,” said Mike Madden, general manager,
Mainframe, CA Technologies. “Customers around the
world are looking for greater insight to gain
competitive advantage and much of the world’s most
important transactional data resides on System z.
Veristorm provides next-generation data movement
technology that makes it easier to move System z
data into Hadoop, lowering overall total cost of
ownership.”

10. 360 3 Degree Big Data Infrastructure Management Approach
Big Data Infrastructure
Management Use Cases
Job Mgmt / Monitoring
Multi-Vendor Management System Management
Alert Management
Process Mgmt / Automation
Resource Mgmt / Reporting
Storage Hadoop Distributed File System
(Unstructured/Structured)
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Data Movement (ETL)
CA Big Data
Infrastructure
Management
Configuration
Mobility
Security
Big Data Platform
Vendors
Hadoop & Hybrid
NAS
Hadoop Distributed File System
Data
Management
System Health Monitoring
Hadoop Big Data Platform Vendor A
Hadoop Big Data Platform Vendor B
Hadoop Big Data Platform Vendor C
Hadoop Big Data Platform Vendor D
Hybrid Big Data Platform Vendor A
Hybrid Big Data Platform Vendor B
Hybrid Big Data Platform Vendor C

11. 360 Degree 3 Big Data Infrastructure Management Approach
CA Big Data Infrastructure Management (In Development) Big Data (Hadoop) Infrastructure
SINGLE, CONSISTENT
MANAGEMENT UI EXPERIENCE
SINGLE ACCESS POINT
INTO HETEROGENEOUS
ENVIRONMENT
Linux / x86
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OPERATIONALIZE , MANAGE
MULTI-VENDOR HADOOP
MANAGEMENT DOMAINS
Big Data Infrastructure
Management Server
(In Development)

12. 3 CA Big Data Infrastructure Management
Demonstration
(Under development )
Challenges:
 Revised budget remains flat and requires a 30% to 50%
increase in Big Data environment utilization.
 Significant complexity associated to hosting multiple
Hadoop distributions & an increasing number of business-critical
Hadoop clusters to support their business apps.
Demo Scenario:
 A global financial institution has been using Big Data technologies to bring new investment
products to the market.
 They are now expanding their Big Data environment to support 6 other business units and an
ever growing number of business initiatives.
 They also discovered that some of the business units had already started their own Big Data
projects using different big data platforms.
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21. Becoming
Information-Driven
CA World 2014
Bala Venkatrao | Director of Products | Cloudera

22. Expanding Data Requires A New Approach
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24. From Hadoop to an Enterprise Data Hub
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25. Hundreds of
companies

26. An energy analytics
provider, Opower
has saved
consumers
$500M to date

28. Summary
A Few Words to Review
Key Thoughts…
 The Big Data market is forcing
significant changes to IT.
 Most Big Data infrastructures will
grow in complexity as business
needs evolve.
 Think ahead - you will need to
effectively manage mixed,
heterogeneous Big Data
environments.
Next Steps
 Align a Big Data roadmap to meet
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your changing business needs.
 Choose the right Big Data
technology and vendor for your
business needs.
 Choose a Big Data Infrastructure
management solution that
accommodates the range of IT Big
Data technologies your business
requires now and in the future.
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29. For More Information
Insert appropriate screenshot and text overlay
from following “More Info Graphics” slide here;
Mainframe
ensure it links to correct page
To learn more about Mainframe solutions from
CA Technologies, please visit:
http://bit.ly/1wbiPkl
29 © 2014 CA. ALL RIGHTS RESERVED.

30. For Informational Purposes Only
Terms of this Presentation
© 2014 CA. All rights reserved. All trademarks referenced herein belong to their respective companies.
This presentation provided at CA World 2014 is intended for information purposes only and does not form any type of warranty.
Some of the specific slides with customer references relate to customer's specific use and experience of CA products and solutions so actual
results may vary.
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