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> Agenda
> Hadoop not standing alone
> Parallel and Complementary Stacks
> The Best of Both Worlds = Big Data Analytics + Traditional BI
> Big Data Analytics on Hadoop Use Cases               •               •               •               •               •  ...
> What Hadoop Adopters Are Saying
> How to make Hadoop successful with BI
> Cornerstone 1: Employ All Data    •   Raw unstructured – Web logs, machine        /sensor data, mobile social, video, e...
> Cornerstone 2: Use All Analytic Assets    •   Traditional models and assets    •   Standard Hadoop components including...
> Cornerstone 3: Provide Self-Service Access for All Users••••    •   Easy-to-use ad-hoc analysis, web-based forms    • ...
> Cornerstone 4: Build a Collaborative Environment••••    •   Metadata, Queries, Results and Visualizations••
> Cornerstone 5: Be Open and Extensible••••••••
>   Cornerstone 6: Populate Best-of-Breed Reporting Tools••••
> How would an architecture look
> Summary
> Summary Get the Best of Both Worlds – Build a Bridge Inside Your Company                                        Big Data...
abetaha@karmasphere.comwww.karmasphere.com
Karmasphere bdabi blueprint- final
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Karmasphere bdabi blueprint- final

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  • One large chip manufacture
  • Co-existence
  • Final
  • Transcript of "Karmasphere bdabi blueprint- final"

    1. 1. > Agenda
    2. 2. > Hadoop not standing alone
    3. 3. > Parallel and Complementary Stacks
    4. 4. > The Best of Both Worlds = Big Data Analytics + Traditional BI
    5. 5. > Big Data Analytics on Hadoop Use Cases • • • • • • • • •
    6. 6. > What Hadoop Adopters Are Saying
    7. 7. > How to make Hadoop successful with BI
    8. 8. > Cornerstone 1: Employ All Data • Raw unstructured – Web logs, machine /sensor data, mobile social, video, etc. • Structured data – traditional RDMBS, EDW’s • Streaming vs. batch oriented • Data governance and quality
    9. 9. > Cornerstone 2: Use All Analytic Assets • Traditional models and assets • Standard Hadoop components including UDFs and SerDes • Custom algorithms • Models created in other systems such as SAS/R
    10. 10. > Cornerstone 3: Provide Self-Service Access for All Users•••• • Easy-to-use ad-hoc analysis, web-based forms • Drag and drop• • Common skills: SQL • Powerful iterative analysis • Analytical models and algorithms•
    11. 11. > Cornerstone 4: Build a Collaborative Environment•••• • Metadata, Queries, Results and Visualizations••
    12. 12. > Cornerstone 5: Be Open and Extensible••••••••
    13. 13. > Cornerstone 6: Populate Best-of-Breed Reporting Tools••••
    14. 14. > How would an architecture look
    15. 15. > Summary
    16. 16. > Summary Get the Best of Both Worlds – Build a Bridge Inside Your Company Big Data Analytics on Hadoop Future, see intent Drives Optimization BI Just getting started Historical Drives reporting Entrenched Be around for a long time
    17. 17. abetaha@karmasphere.comwww.karmasphere.com
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