Fast Data Processing with Spark - Second Edition
Perform real-time analytics using Spark in a fast, distributed, and scalable way
About This Book
Develop a machine learning system with Spark's MLlib and scalable algorithms
Deploy Spark jobs to various clusters such as Mesos, EC2, Chef, YARN, EMR, and so on
This is a...
Programming Persistent Memory: A Comprehensive Guide for Developers
Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application startup times?a huge leap forward in byte-addressable...
Foundations for Analytics with Python
If you’re like many of Excel’s 750 million users, you want to do more with your data—like repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the processing and analysis of data in...
|Result Page: 38 37 36 35 34 33 32 31 30 29 28 27 26 |