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John Mertic, Director, ODPi
@jmertic | @ODPIorg The open ecosystem of big data
ACCELERATING BIG DATA
IMPLEMENTATIONS FOR T...
@ODPiOrg
@ODPiOrg
SIZE ISN’T THE REAL CHALLENGE
@ODPiOrg
INFRASTRUCTURE NOT BOUND TO A DATACENTER
@ODPiOrg
TOP 3 KEY CONSIDERATIONS FOR DATA
PROJECTS
What problem am I
trying to solve?
What data do I have and
where is it...
@ODPiOrg
HADOOP AS THE DATA STRATEGY
@ODPiOrg
ENTERPRISE HADOOP ADOPTION
Hardening Hadoop as an Enterprise-wide
Production Platform
@ODPiOrg
ENTERPRISE HADOOP DEPLOYMENT
CONTINUUM
@ODPiOrg
ENTERPRISE PRODUCTION HADOOP NEEDS
@ODPiOrg
DATAOPS REQUIREMENTS TIGHTEN AS
DEPLOYMENT GOES ENTERPRISE-WIDE
@ODPiOrg
DATAOPS REQUIREMENTS TIGHTEN AS
DEPLOYMENT GOES ENTERPRISE-WIDE
@ODPiOrg
STRENGTHENING THE ENGAGEMENT MODEL
@ODPiOrg
WHY ADD A FEEDBACK LOOP
Modern data tools and
platforms are non-
trivial ( by design )
Enterprise deployment
patt...
@ODPiOrg
AN OPEN COMMUNITY STRUCTURE
CATALYZES THE FEEDBACK LOOP
@ODPiOrg
COMPLIANCE ADDS TRUST
@ODPiOrg
SUSTAINABLE DATA INVESTMENT
Successful Projects depend on
members, developers, infrastructure to
develop products...
@ODPiOrg
HOW COMPANIES AND DEVELOPERS CAN GET
INVOLVED WITH ODPI
@ODPiOrg
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Accelerating Big Data Implementations for the Connected World

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As we begin to dive deeper into the connected world, there has been an explosion of structured and unstructured data. Additionally, advancements in Apache Hadoop and other Big Data technologies, cloud computing and machine learning tools all play into how this world will evolve. Over the last ten years, Apache Hadoop has proven to be a popular platform among seasoned developers who require a technology that can power large, complex applications. However, for customers, partners and application ISVs who write on-top of Hadoop, there is still one huge issue that remains; Interoperability. In this talk, john Mertic will take a closer look at how Apache Hadoop can become more interoperable to accelerate big data implementations.

Published in: Technology
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Accelerating Big Data Implementations for the Connected World

  1. 1. John Mertic, Director, ODPi @jmertic | @ODPIorg The open ecosystem of big data ACCELERATING BIG DATA IMPLEMENTATIONS FOR THE CONNECTED WORLD
  2. 2. @ODPiOrg
  3. 3. @ODPiOrg SIZE ISN’T THE REAL CHALLENGE
  4. 4. @ODPiOrg INFRASTRUCTURE NOT BOUND TO A DATACENTER
  5. 5. @ODPiOrg TOP 3 KEY CONSIDERATIONS FOR DATA PROJECTS What problem am I trying to solve? What data do I have and where is it coming from? What questions need answered?
  6. 6. @ODPiOrg HADOOP AS THE DATA STRATEGY
  7. 7. @ODPiOrg ENTERPRISE HADOOP ADOPTION Hardening Hadoop as an Enterprise-wide Production Platform
  8. 8. @ODPiOrg ENTERPRISE HADOOP DEPLOYMENT CONTINUUM
  9. 9. @ODPiOrg ENTERPRISE PRODUCTION HADOOP NEEDS
  10. 10. @ODPiOrg DATAOPS REQUIREMENTS TIGHTEN AS DEPLOYMENT GOES ENTERPRISE-WIDE
  11. 11. @ODPiOrg DATAOPS REQUIREMENTS TIGHTEN AS DEPLOYMENT GOES ENTERPRISE-WIDE
  12. 12. @ODPiOrg STRENGTHENING THE ENGAGEMENT MODEL
  13. 13. @ODPiOrg WHY ADD A FEEDBACK LOOP 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
  14. 14. @ODPiOrg AN OPEN COMMUNITY STRUCTURE CATALYZES THE FEEDBACK LOOP
  15. 15. @ODPiOrg COMPLIANCE ADDS TRUST
  16. 16. @ODPiOrg SUSTAINABLE DATA INVESTMENT Successful Projects depend on members, developers, infrastructure to develop products that the market will adopt. Downstream constituents (ISVs/IHVs, Solution Providers, End Users) as a part of this helps them be an active participant in their software supply chain.
  17. 17. @ODPiOrg HOW COMPANIES AND DEVELOPERS CAN GET INVOLVED WITH ODPI
  18. 18. @ODPiOrg

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