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Hadoop Beginner's Guide
Get your mountain of data under control with Hadoop. This guide requires no prior knowledge of the software or cloud services - just a willingness to learn the basics from this practical step-by-step tutorial.
Overview
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Learn tools and techniques that let you approach big data with relish and not...
| | 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,... | | Practical Apache Spark: Using the Scala API
Work with Apache Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses various components of Spark such as Spark Core, DataFrames, Datasets and SQL, Spark Streaming, Spark MLib, and R on Spark with the help of practical code snippets for each topic. ... |
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Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset
Many corporations are finding that the size of their data sets are outgrowing the capability of their systems to store and process them. The data is becoming too big to manage and use with traditional tools. The solution: implementing a big data system.
As Big Data Made Easy: A Working... | | | | HDInsight Essentials
Tap your unstructured Big Data and empower your business using the Hadoop distribution from Windows
Overview
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Architect a Hadoop solution with a modular design for data collection, distributed processing, analysis, and reporting
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Build a multi-node Hadoop cluster on Windows servers
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