Data Processing

Integrate the power of R with the simplicity of Shiny to deliver cutting-edge analytics over the Web

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

Create reports and solve common report problems with minimal fuss.

The ultimate guide to managing, building, and deploying large-scale clusters with Apache Mesos

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

Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0

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

Acquire finesse with CTools features and build rich and custom analytics solutions using Pentaho

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

Discover the definitive guide to crafting lightning-fast data processing for distributed systems with Apache Flink

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

Unlock the power of your data with Hadoop 2.X ecosystem and its data warehousing techniques across large data sets

Over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout