TITLE SLIDE: HEADLINE
Presenter name Title, Red Hat Date
Make a Data Driven Investment
Decision About Big Data
Matt Farrellee, Director, Emerging Technologies, Red Hat
Irshad Raihan, Sr. Principal, Big Data Product Marketing, Red Hat
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So What Is Big Data, Anyway?
3
What Makes Big Data Different?
Iterative
Inconsistent
Ad hoc
Single Pass
Consistent
Standard
“Big” is the easy problem to solve
Analytics
Data Formats
Queries
4
Business User Architect Data Center Operator App Developer
Multiple Silos. Multiple Views. Multiple Goals.
The Old Data Lifecycle
Manage Build Code Query
5
Business User
Architect Data Center Operator
App Developer
One Language. One View. One Goal.
The New Data Lifecycle
Ingest Integrate
Act Discover
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Lack of agile, open, and cost effective enterprise-grade solutions
Barriers to Big Data Success
I want more than canned BI queries
I am locked into a vendor stack
I want to use my favorite dev framework
I need to integrate data across silos
Business User
Architect Data Center Operator
App Developer
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Business User
Architect
Data Center Operator
App Developer
Ingest
Integrate
Act
Discover
Open The Possibilities of Your Data
8
Big Data Innovation Cannot Happen in a Bubble
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• Workload optimized, modular blocks
• Completely interoperable with partner ecosystem Open
• Agile data integration and application development
• IaaS and PaaS options for development and deployment Agile
• Resiliency - scalability, high availability, disaster recovery
• Security - comprehensive, normalized role-based access Enterprise Ready
• Decoupled application, data integration and infrastructure
• Seamless transition from physical & virtual to cloud Cloud Ready
• Open Source software and communities
• Skills and tools reuse Cost Effective
The Red Hat Way Applied to Big Data
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Choosing The Right Big Data Technology
Monolithic, Scale up Distributed, Scale Out
Consistency, Integrity Scale, Data Access
Schema on Write Schema on Read
Offline, Batch Online, Real Time
redhat.com/bigdata
redhat.com/insights