Python Data Analysis
Find, manipulate, and analyze your data using the Python 3.5 libraries
Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code
An easy-to-follow guide with realistic examples that are frequently used in real-world data
Hadoop in Practice
Hadoop in Practice, Second Edition provides over 100 tested, instantly useful techniques that will help you conquer big data, using Hadoop. This revised new edition covers changes and new features in the Hadoop core architecture, including MapReduce 2. Brand new chapters cover YARN and integrating...
Hadoop MapReduce v2 Cookbook Second Edition
Explore the Hadoop MapReduce v2 ecosystem to gain insights from very large datasets
About This Book
Process large and complex datasets using next generation Hadoop
Install, configure, and administer MapReduce programs and learn what's new in MapReduce v2
More than 90...
Learning Cloudera Impala
Perform interactive, real-time in-memory analytics on large amounts of data using the massive parallel processing engine Cloudera Impala
Step-by-step guidance to get you started with Impala on your Hadoop cluster
Manipulate your data rapidly by writing proper SQL statements...
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