Data Processing

Combine the power of Apache Spark and Python to build effective big data applications

Create reports and solve common report problems with minimal fuss.

Master the intricacies of Apache Storm and develop real-time stream processing applications with ease

Get up and running with the Pentaho Data Integration tool using this hands-on, easy-to-read guide

Harness the power and simplicity of Informatica PowerCenter 10.x to build and manage efficient data management solutions

Learn about the fastest-growing open source project in the world, and find out how it revolutionizes big data analytics

Designing and writing real-time streaming applications with Apache Apex

Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda Accelerate

A practical guide to implementing your enterprise data lake using Lambda Architecture as the base

Over 70 recipes to help you use Apache Spark as your single big data computing platform and master its libraries

Over 50 recipes on the core features of Apache Mesos and running big data frameworks in Mesos

Process large volumes of data in real-time while building high performance and robust data stream processing pipeline using the latest Apache Kafka 2.0