Learning Spark: Lightning-Fast Big Data Analysis
Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java,...
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...
The C++ Programming Language (hardcover) (4th Edition)
The new C++11 standard allows programmers to express ideas more clearly, simply, and directly, and to write faster, more efficient code. Bjarne Stroustrup, the designer and original implementer of C++, has reorganized, extended, and completely rewritten his definitive reference and tutorial for programmers who want to use...
Java EE Development with Eclipse - Second Edition
Develop, debug, test, and troubleshoot Java EE 7 applications rapidly with Eclipse
About This Book
Go beyond simply learning Java EE APIs and explore the complete workflow of developing enterprise Java applications
Learn to use the features of Eclipse JEE to simplify Java EE application...
|Result Page: 96 95 94 93 92 91 90 89 88 87 86 85 84 83 |