Spark 2.0 Out

Apache Spark 2.0 has officially been released.  Vinay Shukla gives us some highlights:

Performance
Project Tungsten has completed another major phase and with new completely new stage code generation, significant performance improvements have been delivered. Parquet and ORC file processing have also delivered performance improvements.

Databricks Community Edition offers (tiny) free clusters with Spark 2.0 on top of Scala 2.10 and Scala 2.11.

Related Posts

Last-Click Attribution With Databricks Delta

Caryl Yuhas and Denny Lee give us an example of building a last-click digital marketing attribution model with Databricks Delta: The first thing we will need to do is to establish the impression and conversion data streams.   The impression data stream provides us a real-time view of the attributes associated with those customers who were served the […]

Read More

Getting Started With Azure Databricks

David Peter Hansen has a quick walkthrough of Azure Databricks: RUN MACHINE LEARNING JOBS ON A SINGLE NODE A Databricks cluster has one driver node and one or more worker nodes. The Databricks runtime includes common used Python libraries, such as scikit-learn. However, they do not distribute their algorithms. Running a ML job only on the driver might not […]

Read More

Categories

July 2016
MTWTFSS
« Jun Aug »
 123
45678910
11121314151617
18192021222324
25262728293031