Post on 15-May-2018
transcript
June 28, 2017 Predictable Hybrid Big Data
DataOps at Scale – Taking Apache Hadoop Enterprise-Wide
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TODAY’S PRESENTERS
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John Mertic, Director of Program Management, ODPi
Tamara Dull, Director of Emerging Technologies,SAS Institute
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SIZE ISN’T THE REAL CHALLENGE
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ENTERPRISE HADOOP DEPLOYMENT CONTINUUM
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Does your company use Hadoop in production?
a. Yes
b.No
c. Unsure
d.What is Hadoop in production?
POLLING QUESTION #1
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DATAOPS @ ENTERPRISE-WIDE
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What stage are most of your Hadoop deployments?
a. Lab
b.PoC
c. Pilot
d.Enterprise-wide production
POLLING QUESTION #2
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ENTERPRISE PRODUCTION HADOOP NEEDS
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What challenges did you encounter while expanding Hadoop use?
a. Data governance and security
b.App lifecycle management
c. Deployment cloud/on-prem
d.Application portability
POLLING QUESTION #3
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ENTERPRISE HADOOP ADOPTIONHardening Hadoop as an Enterprise-wide Production Platform
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ENTERPRISE HADOOP CHALLENGES
Modern data tools and platforms are non-trivial ( by design )
Enterprise deployment pattern considerations don’t make it upstream
Interoperability standards are inconsistent, even though
platform vendors often derive from the same codebase
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INFRASTRUCTURE NOT BOUND TO A DATACENTER
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GET INVOLVED WITH ODPi
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