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Scaling Big Data, a Spark perspective
Reynold Xin
@rxin
2016-07-09 Big Data LA
Scaling Big Data
Early adopters
Data Scientists
Statisticians
Physicists
R users
PyData
…
Citizen data scientists
Sophisticated
engineering
teams
Spark Philosophy
Unified engine
Support end-to-end applications
High-level APIs
Easy to use, rich optimizations
Integrate broadly
Storage systems, libraries, etc
SQLStreaming ML Graph
…
1
2
3
Apache Spark 2.0
Next major release,coming out in the next few weeks
• Unstable preview release at spark.apache.org
• 2.0.0-rc2 available on dev@sparkmailing list
Remains highly compatible with ApacheSpark 1.X
17k patches (2500 for 2.0) from 1200+ contributors
New in 2.0
Structured API improvements
(DataFrame, Dataset, SparkSession)
Structured Streaming
MLlib model export
R bindings
SQL 2003
Performance improvements
Deep learning libraries
(Baidu, Yahoo!, Berkeley, Databricks)
GraphFrames
PyData integration
Reactive streams
C# bindings:Mobius
JS bindings:EclairJS
Broader Community
Growing the Community
New initiatives from Databricks
The largest challenge in applying big data is
the skills gap.
StackOverflow Developer Survey 2016
Massive Open Online Courses
Free 5-course series on big
data with Apache Spark
dbricks.co/mooc16
Introduction
to Apache Spark
TM
Distributed
Machine Learning
with Apache Spark
TM
Big Data Analysis
with Apache Spark
TM
Advanced Apache Spark
for Data Science and
Data Engineering
TM
Advanced
Machine Learning
with Apache Spark
TM
Databricks Community Edition
Free version of Databricks with:
• Interactive tutorials
• Apache Spark and populardata
science libraries
• Visualization & debug tools
databricks.com/ce
Demo
Link to demo: http://tinyurl.com/big-data-la-2016-demo
2016 Apache Spark Survey
http://tinyurl.com/spark2016survey
Thank you.

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Big Data Day LA 2016 Keynote - Reynold Xin/ Databricks

  • 1. Scaling Big Data, a Spark perspective Reynold Xin @rxin 2016-07-09 Big Data LA
  • 2. Scaling Big Data Early adopters Data Scientists Statisticians Physicists R users PyData … Citizen data scientists Sophisticated engineering teams
  • 3. Spark Philosophy Unified engine Support end-to-end applications High-level APIs Easy to use, rich optimizations Integrate broadly Storage systems, libraries, etc SQLStreaming ML Graph … 1 2 3
  • 4. Apache Spark 2.0 Next major release,coming out in the next few weeks • Unstable preview release at spark.apache.org • 2.0.0-rc2 available on dev@sparkmailing list Remains highly compatible with ApacheSpark 1.X 17k patches (2500 for 2.0) from 1200+ contributors
  • 5. New in 2.0 Structured API improvements (DataFrame, Dataset, SparkSession) Structured Streaming MLlib model export R bindings SQL 2003 Performance improvements Deep learning libraries (Baidu, Yahoo!, Berkeley, Databricks) GraphFrames PyData integration Reactive streams C# bindings:Mobius JS bindings:EclairJS Broader Community
  • 6. Growing the Community New initiatives from Databricks
  • 7. The largest challenge in applying big data is the skills gap. StackOverflow Developer Survey 2016
  • 8. Massive Open Online Courses Free 5-course series on big data with Apache Spark dbricks.co/mooc16 Introduction to Apache Spark TM Distributed Machine Learning with Apache Spark TM Big Data Analysis with Apache Spark TM Advanced Apache Spark for Data Science and Data Engineering TM Advanced Machine Learning with Apache Spark TM
  • 9. Databricks Community Edition Free version of Databricks with: • Interactive tutorials • Apache Spark and populardata science libraries • Visualization & debug tools databricks.com/ce
  • 10. Demo Link to demo: http://tinyurl.com/big-data-la-2016-demo
  • 11. 2016 Apache Spark Survey http://tinyurl.com/spark2016survey