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Fred Oh's presentation for SNW Spring, Monday 4/2/12, 1:00–1:45PM Unstructured data growth is in an explosive state, and has no signs of slowing down. Costs continue to rise along with new regulations mandating longer data retention. Moreover, disparate silos, multivendor storage assets and less than optimal use of existing assets have all contributed to ‘accidental architectures.’ And while they can be key drivers for organizations to explore incremental, innovative solutions to their data challenges, they may provide only short-term gain. Join us for this session as we outline the business benefits of a truly unified, integrated platform to manage all block, file and object data that allows enterprises can make the most out of their storage resources. We explore the benefits of an integrated approach to multiprotocol file sharing, intelligent file tiering, federated search and active archiving; how to simplify and reduce the need for backup without the risk of losing availability; and the economic benefits of an integrated architecture approach that leads to lowering TCSO by 35% or more.
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1 © Hitachi Data Systems Corporation 2011. All Rights Reserved.1
BIG DATA,BIG CONTENTSNW SPRING
FRED OHAPRIL 2, 2012
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Satellite Images
Bio-Informatics
M2M and Web Logs
Sensors
Video
Audio
Documents
Social
Volume
Velocity
Variability
Value
Data-intensive Processing Increases
Four Vs
BIG DATA IS NOT JUST ABOUT SIZE
STRUCTURED DATA
UNSTRUCTURED DATA
SEMI-STRUCTURED DATA
OLTP
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BIG OPPORTUNITY – ACROSS INDUSTRIES
BIG DATA IMPACT
Science and data science• Decoding a genome with 3 billion data pairs can
now be done in < 1 hour
Media and entertainment• Video surveillance at airports with facial
recognition analysis and real-time reporting to security
Oil and gas• Projects usually require coordinating hundreds of
firms with up to 10PB of data to analyze oil locations
Telco$100B Opportunity
Healthcare$300B Opportunity)
Manufacturing+50% Production $
Retail+60% Margin (US)
Public Administration
€100B Opportunity (EU)
BIG DATA EXAMPLES
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BIG DATA MARKET MATURITY IS JUST BEGINNING
85% of Fortune 500 companies are unable to exploit big data for competitive advantage
90% of business leaders say information is a strategic asset but <10% can quantify its economic value
Preparing now with data quality, event-driven architectures, and laying foundational infrastructure for Big Data later.
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ONE PLATFORM FOR THE JOURNEY OF BIG DATA AND BIG CONTENT
BRING ANALYTICS
TO THE DATA
INGEST, STORE
SEARCH, ANALYZE
SEARCH ACROSS NEW HDDS
REPURPOSE,RECOMBINE
PARTNERS
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HITACHI NAS PLATFORM, POWERED BY BLUEARC® (HNAS) – BIG DATA IN OIL AND GAS
Data workflows and management are
increasingly complex
DataAcquisition
VisualInterpretation
ModelingAutomation
Simulation
SeismicProcessing
PropertyModeling
DataManagement
PetrophysicalAnalysis
HNAS provides high-performance scale‒ Tremendous need for high-performance storage
‒ High data volume with storage requirements from 200TB to tens of PB
‒ High-frequency data streams – e.g., 10MB/sec times the number of boats
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BIG DATA, BIG CONTENT
Provide bottomless storage
80 nodes and 32 billion objects
1,000 tenants per system
70K namespaces in many-to-one systems
Reduce tape backup
Distribute content Write once, read
everywhere
Replicate
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SEARCH FOR BIG DATA (COMING IN 2012)
NEW HITACHI DATA DISCOVERY SUITE
REGION 2REGION 1
PARALLELINDEXING
REGION 3
PARALLELINDEXING
PARALLELINDEXING
SEARCH ACROSS
Geospatial and wide area search for FCS portfolio
Super-scale search
Big data search index architecture with Solr + Hadoop + Hitachi
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BIG DATA ANALYTICS – REAL TIME
In-memory computing for real-time analytics‒ Calculate first, then move results
Processing massive quantities of real-time data to provide immediate results
Converged Platform provides ‒ On-demand, nondisruptive scalability‒ Highest-performing appliance for SAP
HANA
HITACHI CONVERGED PLATFORM FOR SAP HANA™
DATA LAYER
HIGH PERFORMANCE
APPS
Delegate Data-
intensive Operations
MASSIVE SCALE-OUT COMING IN 2012!
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10 NAS nodeswith 720TB per rack!
COMPETITOR DEPLOYMENT IS RACK-BY-RACKAT LOWEST POSSIBLE PRICING
WINNING STRATEGY – TCO VS. RACK-BY-RACK
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WINNING STRATEGY – TCO VS. RACK-BY-RACK
HITACHI DATA SYSTEMS DEPLOYMENT IS TCO-BASED
2 HNAS3090 nodes+ 672TB for 1st rack
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GOING FORWARD – $$$$$$$$$$$$$$$$$$$$$
Information Lifecycle
Management + National Genomics
Database (based on HCP and HDDS),
4PB per yearDYNAMIC
INFRASTRUCTURE
FLUID CONTENT
SOPHISTICATED INSIGHT
Genomics Information Cloud
ManagedStorageSolution
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QUESTIONS AND DISCUSSION
1414
THANK YOU
