This document discusses a presentation about MemSQL PowerStream, a product for predicting the global health of wind turbines. The presentation covers renewable energy news stories, introduces PowerStream, demonstrates high-speed data ingestion and predictive analytics using MemSQL and Spark, and shows how SQL queries can be pushed down to MemSQL for faster processing. It concludes with a question and answer section.

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2. Topics
• Renewable Energy
• PowerStream
• Demo
• Q&A
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3. Renewable Energy
in the News
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4. Germany Just Got Almost All of
Its Power From Renewable Energy
May 15, 2016
Bloomberg: h,p://www.bloomberg.com/news/ar5cles/2016-05-16/germany-just-got-almost-all-of-its-
power-from-renewable-energy
(c) Nikita Shamgunov and MemSQL

5. Investment in renewables
reached $286 billion worldwide
in 2015
BBC: h&p://www.bbc.com/news/science-environment-36420750
(c) Nikita Shamgunov and MemSQL

6. Introducing
PowerStream
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7. MemSQL PowerStream
Predic'ng the global health of wind turbines
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11. Streamliner Architecture for PowerStream
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14. Demo Sequence
• Part I
• High Speed Ingest
• Predic3ve Analy3cs
• Business Intelligence
• Part II
• Spark SQL Pushdowns
(c) Nikita Shamgunov and MemSQL

15. MemSQL and Spark
Real-&me applica&on
Demo part I
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20. Demo Part I
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21. MemSQL and Spark
Be#er together
Demo part II
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23. SQL Pushdown
• Delegate SQL query processing to a database
• Enhance speed and concurrency
• Complement other Spark capabili=es
• Use Spark as a high level interface
• Command line example with and without pushdown
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24. Demo Part II
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25. From a Real-Time Dashboard to Predic5ve
Applica5ons
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27. Ques%ons and answers
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