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.

Mastering Vim, reviewed by Bram Moolenaar, the creator of Vim, covers usage of Vim and Neovim, showcases relevant plugins, and teaches Vimscript

A comprehensive guide to mastering the most advanced Hadoop 3 concepts

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

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

No need to spend hours ploughing through endless data - let Spark, one of the fastest big data processing engines available, do the hard work for you.

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