We are creating more digitized data than ever before. Big data is about gaining new business insight from expanded and previously untapped sources of information, including unstructured content, machine data logs and social media. This webcast will explain how Hitachi Data Systems delivers the infrastructure, services, content and partner solutions like SAP HANA to help you capitalize on this opportunity today. The webcast will also show how the combined companies of Hitachi, Ltd. are at the forefront of innovation for the world of big data of tomorrow. By viewing this webcast, you’ll learn how to: Use HDS infrastructure to better manage data centers for big data. Analyze content for enterprise dark data. Work with HDS partners and services to develop a comprehensive big data solution. For more information on our big data solutions please visit: http://www.hds.com/solutions/it-strategies/big-data/?WT.ac=us_mg_sol_bigdat

1. 1
CAPITALIZE ON BIG DATA
SARA GARDNER, SENIOR DIRECTOR
OF SOFTWARE PRODUCT
MARKETING
© Hitachi Data Systems Corporation 2013. All Rights Reserved.

2. We are creating more digitized data than ever before. Big data is about gaining
new business insight from expanded and previously untapped sources of
information, including unstructured content, machine data logs and social
media.
This presentation will explain how Hitachi Data Systems delivers the
infrastructure, services, content and partner solutions like SAP HANA to help
you capitalize on this opportunity today. The presentation will also show how
the combined companies of Hitachi, Ltd. are at the forefront of innovation for
the world of big data of tomorrow.
By attending this webcast, you’ll learn how to
 Use HDS infrastructure to better manage data centers for big data.
 Analyze content for enterprise dark data.
 Work with HDS partners and services to develop a comprehensive big data
solution.
CAPITALIZE ON BIG DATA
WEBTECH EDUCATIONAL SERIES

3. CAPITALIZE ON BIG DATA
 Capitalize on big data today
‒ Introduction
‒ How we can help you get started
‒ Our integrated strategy for big data
 Capitalize on big data tomorrow
‒ How requirements are different
‒ Machine data. The Internet of Things
‒ The unique Hitachi value proposition
‒ Drive innovation today!
TOPICS

4. 4
TECHNOLOGY HAS TRANSFORMED BUSINESS
GROWTH OF
UNSTRUCTURED
DATA
STRUCTURED
UNSTRUCTURED
DATA
CLOUD AND
CONSUMPTION MODELS
VIRTUALIZATION IS
EVERYWHERE
RAPID GROWTH OF
APPLICATIONS AND
MOBILE DEVICES
EMERGENCE OF BIG
DATA AND ANALYTICS
DATA LIVES FOREVER,
BUT IN APPLICATION AND
INFRASTRUCTURE SILOS

5. 5
BUSINESS
PROCESS
DATABASE DATA
HUMAN
ENTERPRISE CONTENT,
EXTERNAL SOURCES
MACHINE
SENSOR DATA, COMPLEX DATA
SOURCES OF BIG DATA GROWTH
THE DATA MULTIPLIER EFFECT
More Data with More Complex Relationships…in Real Time and At Scale
To manage, govern and analyze
1X 10X 100XOLTP
EMAIL
DOCUMENTS
WEB LOGS SOCIAL
SENSORS M2M LOG
FILES
RECORDING
VIDEO
SATELLITE
IMAGING BIO-
INFORMATICS
VARIETY
VOLUME
VARIETY
VOLUME
VELOCITY VOLUME

6. 6
BIG DATA
INSIGHT

7. 7
BIG DATA IS BRIDGING THE GAP
HUMAN DATA
MACHINE DATA
STRUCTURED DATA
Capture
Store and manage
Combine and correlate
Analyze
INSIGHT!

8. 8
SINGLE VIRTUALIZATION PLATFORM FOR
INFRASTRUCTURE, CONTENT AND INFORMATION
HDS INTEGRATED STRATEGY FOR BIG DATA
ONE PLATFORM FOR ALL DATA
INFRASTRUCTURE
CLOUD
 VIRTUALIZATION, MOBILITY
 INTEGRATED MANAGEMENT
 DATA CENTER CONVERGENCE
 INFRASTRUCTURE ON DEMAND
CONTENT
CLOUD
 SEARCH, DISCOVER AND INTEGRATE
INDEPENDENT OF APPLICATIONS
 ON-DEMAND CONTENT
 ARCHIVING AS A SERVICE
INFORMATION
CLOUD
 ANALYTICS
 UNLOCKING
ENTERPRISE
DARK DATA

9. 9
BIG DATA
ONE PLATFORM FOR ALL DATA
MANAGE BIG DATA AT SCALE – ALL DATA TYPES
Dark
Data
MULTI-PROTOCOL/
MULTI-DATA TYPE
VIRTUALIZED
DATA MOBILITY
SINGLE
MANAGEMENT
INFRASTRUCTURE
ON DEMAND
HDI / HCP
UCP
SAP, Oracle, Microsoft
HNAS Hadoop

10. 10
PUT BIG DATA VOLUME IN PERSPECTIVE
4 HD Movies = 200GB
20,000,000 HD Movies = 1EB
20,000 HD Movies = 1PB
1 HD Movie = 50GB It would take 4,566
years to watch 20
million movies!

11. 11
HITACHI CONTENT CLOUD
Repurpose
Search
AnalyzeStore
CONTENT
INFORMATION

12. 12
ENTERPRISE DARK DATA
BRING STRUCTURE TO UNSTRUCTURED DATA

13. 13
HITACHI CONTENT PLATFORM
A METADATA BUSINESS EXAMPLE
<claim id=1203 date=20110925>
<policy id=101>
<party id=1 type=car plate=509445>
<claim id=1203 date=20110925>
<policy id=101>
<estimate id=2344 estimator=124 date=20110930>
<claim id=1203 date=20110930>
<policy id=101>
<invoice id=72273881 vendor=2833>
<policy id=101>
<object type=car
plate=454756>
<customer id=2355>
<tow plate=454756>

14. 14
BIG DATA IS EVERYWHERE
YOU HAVE
BIG DATA!
OPERATIONS
DISTRIBUTION
MARKETING
CALL
CENTER
MANU-
FACTURING
R&D
IT
STORES
AND SALES
LOG
LOG
LOG
LOG
SENSOR
DATA
SENSOR
DATA
SENSOR
DATA

15. WHERE DO I START?
 How is big data going to help the business?
 How much will it cost?
 How risky is it?
 How will we measure the return?
 How long will it take to see results?
TOP 5 CEO QUESTIONS

16. 16
BIG DATA SERVICES
HITACHI CONSULTING AND HITACHI GLOBAL SOLUTIONS SERVICES
Analytics strategy service
Analytics reference architecture service
Analytics solution evaluation and business case service
Consulting
Advisory and architecture services to
empower customers to make business and
technical decisions
Transition
Implementation and integration services to
develop, test and successfully deploy big
data solutions
Support
Comprehensive maintenance and support
services to ensure customer success and
satisfaction with big data solutions
Portfolio

17. 17
HITACHI UNIFIED COMPUTE PLATFORM SELECT
FOR THE SAP HANA PLATFORM
 Key benefits of UCP Select for SAP HANA
 Scalability and efficiency
Up to 4 Hitachi CB 2000 blades delivering a
single HANA node with up to 80 cores and
1,024GB of memory
 Availability
Fibre Channel storage for 99.999% data
availability (HUS 130)
 Performance
Well-balanced system with Fibre Channel
storage
BALANCED SYSTEM OF COMPUTE,
SSD, AND STORAGE
SIZE MEMORY # BLADE SOCKETS CORES
SMALL 256 GB 1 2 20
MEDIUM 512 GB 2 4 40
LARGE 1,024 GB 4 8 80
SAP HANA
preloaded by
HDS
SAP HANA processes and calculates real-time analytics, which leverage data
in-memory for actionable and predictive insights

18. 18
BEYOND THE APPLIANCE:
BIG DATA, HITACHI, AND SAP – A SCENARIO
Publish
Real-time data from
customers and
social media
Unstructured data
repository
ETL process
Existing structured
data from SAP
(POS, CRM)
Analyze buying
preferences and
customer loyalty
Individualized
marketing
and retention
programs
Capture
Transform
Combine
Analytics
Decisions
1
2
4
5
GOAL: Leverage loyalty
program for more
revenue
3
MOBILE
WEB
HANA

19. 19
BIG DATA PARTNERS
Analytics
and
Visualization
Data Integration
Services
Converged
Platform

20. 20
CAPITALIZE ON BIG DATA
 Capitalize on big data today
‒ Introduction
‒ How we can help you get started
‒ Our integrated strategy for big data
 Capitalize on big data tomorrow
‒ How requirements are different
‒ Machine data. The Internet of Things
‒ The unique Hitachi value proposition
‒ Drive innovation today!
TOPICS

21. 21
WHY BIG DATA OF TOMORROW IS DIFFERENT
 Vastly more volume
‒ Machine data expected to exceed current data 100fold
 Increased velocity
‒ High-speed ingest
‒ More real-time decision making
 Complex data (variety)
‒ Such as image processing from satellites, video
surveillance, and medical imaging
 Highly verticalized
‒ Deep industry skills needed to develop solutions
ORDERS OF MAGNITUDE BIGGER AND POTENTIALLY MORE COMPLEX

22. HITACHI – BIG DATA DRIVING BIG INNOVATION
THE FUTURE OF BIG DATA
Machine data is in our DNA
We think more like users

23. 23
BIG DATA DRIVING BIG INNOVATION TODAY
Hitachi
Transportation:
Bullet Trains
Demand-based maintenance
Early warning improves
safety
More efficient asset utilization
Telemetry from seismic
sensors
Efficient capture time series
data
Hitachi Power:
Power Stations
Operational data from
sensors
Insight for fleet managers
Competitive differentiation
Hitachi
Construction:
Excavators

24. HITACHI VISION FOR SOCIAL INNOVATION
THROUGH BIG DATA
SOCIAL INNOVATION SOLUTIONS
MEDICAL TRAFFIC SECURITY
RAILWAY PUBLIC DISTRIBUTION
FINANCIAL ENERGY
MACHINE
DATA
HUMAN
DATA
BUSINESS
DATA
INFORMATIONCONTENTINFRASTRUCTURE

25. QUESTIONS AND
DISCUSSION

26. UPCOMING SESSIONS
 Big Data in Oil and Gas - How to Tap Its Full Potential , Feb 6, 9am PT,
12pm ET
‒ Featuring IDC Energy Insights’ analyst Jill Feblowitz.
 A High-Performance, Scalable Big Data Appliance, Feb. 20, 9am PT
12pm ET
 Big Data – Shining the Light on Enterprise Dark Data, Apr 17, 9am PT,
12pm ET
Plus more to come.
Check www.hds.com/webtech for
 Links to the recording, the presentation and Q&A (available next week)
 Schedule and registration for upcoming WebTech sessions
BIG DATA SERIES

27. THANK YOU