tampilan
Spark Summit 2016 Demo: Apache Spark 2.0
Best Practices for Engineering Production-Ready Software with Apache Spark
Top 5 Mistakes When Writing Spark Applications
Get Rid of Traditional ETL, Move to Spark! (Bas Geerdink)
Continuous Application with FAIR Scheduler - Robert Xue
Using Cascading to Build Data-centric Applications on Spark - Spark Summit 2014
Engineering Fast Indexes for Big Data Applications: Spark Summit East talk by Daniel Lemire
Structuring Apache Spark 2.0: SQL, DataFrames, Datasets And Streaming - by Michael Armbrust