Professional Hadoop Solutions
The go-to guidebook for deploying Big Data solutions with Hadoop
Today's enterprise architects need to understand how the Hadoop frameworks and APIs fit together, and how they can be integrated to deliver real-world solutions. This book is a practical, detailed guide to building and implementing those solutions, with...
Hadoop Real World Solutions Cookbook - Second Edition
Implement outstanding Machine Learning use cases on your own analytics models and processes.
Solutions to common problems when working with the Hadoop ecosystem.
Step-by-step implementation of end-to-end big data use cases.
Who This Book Is For
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,...
Big Data Analytics with Microsoft HDInsight in 24 Hours, Sams Teach Yourself
With Microsoft HDInsight, business professionals and data analysts can rapidly leverage the power of Hadoop on a flexible, scalable cloud-based platform, using Microsoft's accessible business intelligence, visualization, and productivity tools. Now, in just 24 lessons of one hour or less, you can learn all the skills and...
Mastering Apache Spark
Gain expertise in processing and storing data by using advanced techniques with Apache Spark
About This Book
Explore the integration of Apache Spark with third party applications such as H20, Databricks and Titan
Evaluate how Cassandra and Hbase can be used for storage
Big Data Analytics with R and Hadoop
If you're an R developer looking to harness the power of big data analytics with Hadoop, then this book tells you everything you need to integrate the two. You'll end up capable of building a data analytics engine with huge potential.
Write Hadoop MapReduce within R
|Result Page: 4 3 2 1 |