Training

TRACK A: Introduction to Apache Spark Workshop

The Introduction to Apache Spark workshop is for users to learn the core Spark APIs. This session features hands-on technical exercises to get developers up to speed in using Spark for data exploration, analysis, and building big data applications.

The integrated lecture and lab format covers the following topics:

Overview of Big Data and Spark

Installing Spark Locally

Using Spark’s Core APIs in Scala, Java, & Python

Building Spark Applications

Deploying on a Big Data Cluster

Building Applications for Multiple Platforms

TRACK B: Advanced Apache Spark Workshop

The Advanced Apache Spark Workshop will cover advanced topics on architecture, tuning, and each of Spark’s high-level libraries (including the latest features). Attendees will have the opportunity after the lunch break to work through labs on each of the libraries.

Some familiarity with Spark or MapReduce is expected, as this workshop will not cover basic Spark programming.

Topics covered include:

Advanced Spark Internals and Tuning – Reynold Xin

Spark SQL – Michael Armburst

Spark Streaming – Tathagata Das

MLlib – Xiangrui Meng

GraphX – Ankur Dave

Building Applications for Multiple Platforms – Pat McDonough