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.

Technologie

John Mertic, Director, ODPi
@jmertic | @ODPIorg The open ecosystem of big data
ACCELERATING BIG DATA
IMPLEMENTATIONS FOR THE
CONNECTED WORLD

@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 coming from?
What questions need
answered?

@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
STRENGTHENING THE ENGAGEMENT MODEL

@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

@ODPiOrg
AN OPEN COMMUNITY STRUCTURE
CATALYZES THE FEEDBACK LOOP

@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.

@ODPiOrg
HOW COMPANIES AND DEVELOPERS CAN GET
INVOLVED WITH ODPI

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1. John Mertic, Director, ODPi @jmertic | @ODPIorg The open ecosystem of big data ACCELERATING BIG DATA IMPLEMENTATIONS FOR THE CONNECTED WORLD

2. @ODPiOrg

3. @ODPiOrg SIZE ISN’T THE REAL CHALLENGE

4. @ODPiOrg INFRASTRUCTURE NOT BOUND TO A DATACENTER

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. @ODPiOrg HADOOP AS THE DATA STRATEGY

7. @ODPiOrg ENTERPRISE HADOOP ADOPTION Hardening Hadoop as an Enterprise-wide Production Platform

8. @ODPiOrg ENTERPRISE HADOOP DEPLOYMENT CONTINUUM

9. @ODPiOrg ENTERPRISE PRODUCTION HADOOP NEEDS

10. @ODPiOrg DATAOPS REQUIREMENTS TIGHTEN AS DEPLOYMENT GOES ENTERPRISE-WIDE

11. @ODPiOrg DATAOPS REQUIREMENTS TIGHTEN AS DEPLOYMENT GOES ENTERPRISE-WIDE

12. @ODPiOrg STRENGTHENING THE ENGAGEMENT MODEL

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. @ODPiOrg AN OPEN COMMUNITY STRUCTURE CATALYZES THE FEEDBACK LOOP

15. @ODPiOrg COMPLIANCE ADDS TRUST

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. @ODPiOrg HOW COMPANIES AND DEVELOPERS CAN GET INVOLVED WITH ODPI

18. @ODPiOrg

Notes de l'éditeur

Google CES 2017/Mobile World Conference - pull out examples of craziest internet connected devices here. Kolibree Ara Smart Toothbrush HiMirror, A Smart Beauty Mirror Smarter's FridgeCam Zeeq Smart Pillow Kerastase Hair Coach
Hadoop is used as a data strategy to solve #2 - has been implemented over the last 10 years. Even after 10 years it’s still growing and changing. Quote out a few vendors doing this. Progressive Insurance is quietly amassing a trove of driver data — 10 billion miles of driving data, to be exact — with Snapshot, its opt-in driving tracker device.
Hadoop is used as a data strategy to solve #2 - has been implemented over the last 10 years. Even after 10 years it’s still growing and changing. Quote out a few vendors doing this. Progressive Insurance is quietly amassing a trove of driver data — 10 billion miles of driving data, to be exact — with Snapshot, its opt-in driving tracker device.
But even after 10 years, adoption isn’t where people would expect it.
For Enterprise production of Hadoop, helping fill the gaps here would help the growth pattern
Talk to enterprises wanting to participate in the creation process – software supply chain.
Mention that individuals can get involved.

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