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Zaloni Confidential and Proprietary - Provided under NDA
Spark Summit 2017
TASM Feedback
Jean Georges Perrin / jgperrin@zaloni.com
2017-06-22
Zaloni Confidential and Proprietary - Provided under NDA
is hiring!
Check out https://www.zaloni.com/about/careers/
Forbes:
Best Big Data Companies And CEOs To
Work For In 2017
Zaloni Confidential and Proprietary - Provided under NDA
• June 5-7 2017
• San Francisco's Moscone Center
• Just under 3000 attendees
• 11 tracks: Data Science , Data Science 2, Developer, Enterprise, Machine
Learning, Research, Spark Ecosystem, Use Cases, Sponsored Sessions,
Streaming, Technical Deep Dives
• About 30 exhibitors
• About 50 sponsors
• At least four French speakers
• One Zaloni Speaker
Logistics
Zaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDA
Significant Growth in the Community
Zaloni Confidential and Proprietary - Provided under NDA
• Spark 2.2 is coming:
▪ Cost-based optimizer (IBM contribution).
▪ Structured streaming.
▪ Easier Python Experience (pip support).
• New Databricks Open Source contribution:
▪ Deep Learning.
▪ Streaming Performance.
Announces
Zaloni Confidential and Proprietary - Provided under NDA
Deep & Machine Learning
Zaloni Confidential and Proprietary - Provided under NDA
• Initiative from Databricks
▪ https://databricks.com/blog/2017/06/06/databricks-vision-simplify-large-sc
ale-deep-learning.html
▪ https://github.com/databricks/spark-deep-learning
• Easier integration of TensorFlow and other frameworks
• Partnership with Stanford U
Deep Learning - Making it Easier
Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDA
Yes, it is!
Christopher Ré, Stanford U
Zaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDA
Streaming
Zaloni Confidential and Proprietary - Provided under NDA
Clearly after Kafka Streams
Zaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDA
Some Sessions
Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDA
• Building a Mica-like tool internally.
• Looking at Open-Sourcing it.
• Video: https://www.youtube.com/watch?v=-hDIkTUPhZY&feature=youtu.be
• Slides:
https://www.slideshare.net/databricks/using-sparkml-to-power-a-dsaas-data-sc
ience-as-a-service-with-kiran-muglurmath-and-sridhar-alla
Comcast
Zaloni Confidential and Proprietary - Provided under NDA
Sunning Too...
Zaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDA
Sunning's Extensions to Spark ML
Zaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDA
• Giving ML capabilities to Business Users, mainly in fraud detection.
• Slides:
https://www.slideshare.net/databricks/machine-learning-as-a-service-apache-s
park-mllib-enrichment-and-webbased-codeless-modeling-with-zhengyi-le
• Video: https://www.youtube.com/watch?v=R4VEHoCvHy4&feature=youtu.be
Sunning - ML as a Service
Zaloni Confidential and Proprietary - Provided under NDA
A Religion War about to Start?
Zaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
The Cloud is Too (Damn) Hard!
Zaloni Confidential and Proprietary - Provided under NDA
More and more of NLP and Spark
Zaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDA
More Keynotes
Zaloni Confidential and Proprietary - Provided under NDA
Serverless is the Future of Cloud
Zaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDA
• Dynamic allocation of resources.
• More flexibility for the customers.
• Lower TCO.
• Non-blocking jobs.
• Faster.
• Matching Amazon offers?
Serverless
Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
Up to 12x Faster
Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
Intermission with Ben, Ion, and Matei
Ben Lorica (O’Reilly Media)
Ion Stoica (UC Berkeley AMP/RISELab & Databricks)
Matei Zaharia
(Databricks)
Zaloni Confidential and Proprietary - Provided under NDA
Various Takeaways
Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
DRY & DRO
Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
Smarter Notebooks
Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
Microsoft Fully Embracing the Apache Stack
Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDA
Finally Some Common Sense!
Zaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDA
2.2 rocks!
• Simply Faster.
▪ Autoboxing kills performance!
▪ Scala sucks (yeah!)
▪ Better Catalyst, including cost-based optimizer (donated by IBM).
Zaloni Confidential and Proprietary - Provided under NDA
GPU Analytics is a Trend
Zaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDA
• IBM mentioned it.
• 4 sessions on the subject.
▪ 3 sessions on GPU
▪ 2 sessions on FPGA
• Vendors: MapD, Intel, Nvidia.
Analytics on GPU? FPGA?
Zaloni Confidential and Proprietary - Provided under NDA
Vendors
Zaloni Confidential and Proprietary - Provided under NDA
Classics
• Databricks
• Intel
• IBM
• Cloudera
• Pepperdata
• Cask
• Mesosphere
• Google Cloud
• Amazon
• Mapr
• Netapp
• BlueTalon
• DataIku
• Talend
• MemSQL
• Redis
• Microsoft
• Confluent
• VMware
• ...
• Not Hortonworks
Zaloni Confidential and Proprietary - Provided under NDA
• Gridgain - in memory DB
• SnappyData - in memory DB
• Target - looking to hire people
• Yelp! - looking to hire people
Others
Zaloni Confidential and Proprietary - Provided under NDA
Freebie
Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDA
And the best session of all times...
Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
Zaloni Confidential and Proprietary - Provided under NDA
• Video:
https://www.youtube.com/watch?v=ka8xhQAoj-E&feature=youtu.be
(go like it!)
• Slides:
▪ On Databricks' channel:
https://www.slideshare.net/databricks/the-key-to-machine-learning-is-prep
ping-the-right-data-with-jean-georges-perrin
(go like it!)
▪ On my channel:
https://www.slideshare.net/jgperrin/the-key-to-machine-learning-is-preppin
g-the-right-data
(go like it!)
The Key to ML is Prepping the Right Data
Zaloni Confidential and Proprietary - Provided under NDA
Thank you

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Spark Summit 2017 - A feedback for TASM

  • 1. Zaloni Confidential and Proprietary - Provided under NDA Spark Summit 2017 TASM Feedback Jean Georges Perrin / jgperrin@zaloni.com 2017-06-22
  • 2. Zaloni Confidential and Proprietary - Provided under NDA is hiring! Check out https://www.zaloni.com/about/careers/ Forbes: Best Big Data Companies And CEOs To Work For In 2017
  • 3. Zaloni Confidential and Proprietary - Provided under NDA • June 5-7 2017 • San Francisco's Moscone Center • Just under 3000 attendees • 11 tracks: Data Science , Data Science 2, Developer, Enterprise, Machine Learning, Research, Spark Ecosystem, Use Cases, Sponsored Sessions, Streaming, Technical Deep Dives • About 30 exhibitors • About 50 sponsors • At least four French speakers • One Zaloni Speaker Logistics
  • 4. Zaloni Confidential and Proprietary - Provided under NDA
  • 5. Zaloni Confidential and Proprietary - Provided under NDA Significant Growth in the Community
  • 6. Zaloni Confidential and Proprietary - Provided under NDA • Spark 2.2 is coming: ▪ Cost-based optimizer (IBM contribution). ▪ Structured streaming. ▪ Easier Python Experience (pip support). • New Databricks Open Source contribution: ▪ Deep Learning. ▪ Streaming Performance. Announces
  • 7. Zaloni Confidential and Proprietary - Provided under NDA Deep & Machine Learning
  • 8. Zaloni Confidential and Proprietary - Provided under NDA • Initiative from Databricks ▪ https://databricks.com/blog/2017/06/06/databricks-vision-simplify-large-sc ale-deep-learning.html ▪ https://github.com/databricks/spark-deep-learning • Easier integration of TensorFlow and other frameworks • Partnership with Stanford U Deep Learning - Making it Easier
  • 9. Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
  • 10. Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
  • 11. Zaloni Confidential and Proprietary - Provided under NDA Yes, it is! Christopher Ré, Stanford U Zaloni Confidential and Proprietary - Provided under NDA
  • 12. Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
  • 13. Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
  • 14. Zaloni Confidential and Proprietary - Provided under NDA Streaming
  • 15. Zaloni Confidential and Proprietary - Provided under NDA Clearly after Kafka Streams Zaloni Confidential and Proprietary - Provided under NDA
  • 16. Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
  • 17. Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
  • 18. Zaloni Confidential and Proprietary - Provided under NDA Some Sessions
  • 19. Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
  • 20. Zaloni Confidential and Proprietary - Provided under NDA • Building a Mica-like tool internally. • Looking at Open-Sourcing it. • Video: https://www.youtube.com/watch?v=-hDIkTUPhZY&feature=youtu.be • Slides: https://www.slideshare.net/databricks/using-sparkml-to-power-a-dsaas-data-sc ience-as-a-service-with-kiran-muglurmath-and-sridhar-alla Comcast
  • 21. Zaloni Confidential and Proprietary - Provided under NDA Sunning Too... Zaloni Confidential and Proprietary - Provided under NDA
  • 22. Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
  • 23. Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
  • 24. Zaloni Confidential and Proprietary - Provided under NDA Sunning's Extensions to Spark ML Zaloni Confidential and Proprietary - Provided under NDA
  • 25. Zaloni Confidential and Proprietary - Provided under NDA • Giving ML capabilities to Business Users, mainly in fraud detection. • Slides: https://www.slideshare.net/databricks/machine-learning-as-a-service-apache-s park-mllib-enrichment-and-webbased-codeless-modeling-with-zhengyi-le • Video: https://www.youtube.com/watch?v=R4VEHoCvHy4&feature=youtu.be Sunning - ML as a Service
  • 26. Zaloni Confidential and Proprietary - Provided under NDA A Religion War about to Start? Zaloni Confidential and Proprietary - Provided under NDA
  • 27. Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA The Cloud is Too (Damn) Hard!
  • 28. Zaloni Confidential and Proprietary - Provided under NDA More and more of NLP and Spark Zaloni Confidential and Proprietary - Provided under NDA
  • 29. Zaloni Confidential and Proprietary - Provided under NDA More Keynotes
  • 30. Zaloni Confidential and Proprietary - Provided under NDA Serverless is the Future of Cloud Zaloni Confidential and Proprietary - Provided under NDA
  • 31. Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
  • 32. Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
  • 33. Zaloni Confidential and Proprietary - Provided under NDA • Dynamic allocation of resources. • More flexibility for the customers. • Lower TCO. • Non-blocking jobs. • Faster. • Matching Amazon offers? Serverless
  • 34. Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA Up to 12x Faster
  • 35. Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA Intermission with Ben, Ion, and Matei Ben Lorica (O’Reilly Media) Ion Stoica (UC Berkeley AMP/RISELab & Databricks) Matei Zaharia (Databricks)
  • 36. Zaloni Confidential and Proprietary - Provided under NDA Various Takeaways
  • 37. Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA DRY & DRO
  • 38. Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA Smarter Notebooks
  • 39. Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA Microsoft Fully Embracing the Apache Stack
  • 40. Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
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  • 42. Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
  • 43. Zaloni Confidential and Proprietary - Provided under NDA Finally Some Common Sense! Zaloni Confidential and Proprietary - Provided under NDA
  • 44. Zaloni Confidential and Proprietary - Provided under NDA 2.2 rocks! • Simply Faster. ▪ Autoboxing kills performance! ▪ Scala sucks (yeah!) ▪ Better Catalyst, including cost-based optimizer (donated by IBM).
  • 45. Zaloni Confidential and Proprietary - Provided under NDA GPU Analytics is a Trend Zaloni Confidential and Proprietary - Provided under NDA
  • 46. Zaloni Confidential and Proprietary - Provided under NDA • IBM mentioned it. • 4 sessions on the subject. ▪ 3 sessions on GPU ▪ 2 sessions on FPGA • Vendors: MapD, Intel, Nvidia. Analytics on GPU? FPGA?
  • 47. Zaloni Confidential and Proprietary - Provided under NDA Vendors
  • 48. Zaloni Confidential and Proprietary - Provided under NDA Classics • Databricks • Intel • IBM • Cloudera • Pepperdata • Cask • Mesosphere • Google Cloud • Amazon • Mapr • Netapp • BlueTalon • DataIku • Talend • MemSQL • Redis • Microsoft • Confluent • VMware • ... • Not Hortonworks
  • 49. Zaloni Confidential and Proprietary - Provided under NDA • Gridgain - in memory DB • SnappyData - in memory DB • Target - looking to hire people • Yelp! - looking to hire people Others
  • 50. Zaloni Confidential and Proprietary - Provided under NDA Freebie
  • 51. Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
  • 52. Zaloni Confidential and Proprietary - Provided under NDA And the best session of all times...
  • 53. Zaloni Confidential and Proprietary - Provided under NDAZaloni Confidential and Proprietary - Provided under NDA
  • 54. Zaloni Confidential and Proprietary - Provided under NDA • Video: https://www.youtube.com/watch?v=ka8xhQAoj-E&feature=youtu.be (go like it!) • Slides: ▪ On Databricks' channel: https://www.slideshare.net/databricks/the-key-to-machine-learning-is-prep ping-the-right-data-with-jean-georges-perrin (go like it!) ▪ On my channel: https://www.slideshare.net/jgperrin/the-key-to-machine-learning-is-preppin g-the-right-data (go like it!) The Key to ML is Prepping the Right Data
  • 55. Zaloni Confidential and Proprietary - Provided under NDA Thank you