Hadoop is a free, Java-based programming framework that allows the processing of large data in an allotted computing environment. Hadoop is a part of Apache open source project sponsored by the Apache Software Foundation. Hadoop is suddenly becoming a staple in big data. It’s a broad framework spanning many technologies that help with distributed data storage and data analysis.
Hadoop Book 2019 – Best Hadoop Books for Beginners List
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- O Reilly Media
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CCA131: CCA Hadoop Administration Certification Hands-on Practice Book and Preparation: CCA131 : Hadoop Admin Certifications
Expert Hadoop Administration: Managing, Tuning, and Securing Spark, YARN, and HDFS (Addison-Wesley Data & Analytics Series)
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- Addison-Wesley Professional
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Hadoop 2 Quick-Start Guide: Learn the Essentials of Big Data Computing in the Apache Hadoop 2 Ecosystem (Addison-Wesley Data &...
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If your organization is about to enter the world of big data, you not only need to decide whether Apache Hadoop is the right platform to use, but also which of its many components are best suited to your task. This field guide makes the exercise manageable by breaking down the Hadoop ecosystem...
If you're a business team leader, CIO, business analyst, or developer interested in how Apache Hadoop and Apache HBase-related technologies can address problems involving large-scale data in cost-effective ways, this book is for you. Using real-world stories and situations, authors Ted Dunning...
If you ve been asked to maintain large and complex Hadoop clusters, this book is a must. Eric Sammer, Principal Solution Architect at Cloudera, shows you the particulars of running Hadoop in production, from planning, installing, and configuring the system to providing ongoing maintenance. Rather...
This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you re using. Updated to include new versions of Hadoop, this second edi
Today's databases can handle velocity, variety, and volume well beyond the traditional data warehouse, but the problems and architectures to handle them are not yet well-established. Drawing on years of experience in a wide variety of industries, Douglas Moore and Jeffrey Breen identify common...
Summary Hadoop in Practice collects 85 Hadoop examples and presents them in a problem/solution format. Each technique addresses a specific task you'll face, like querying big data using Pig or writing a log file loader. You'll explore each problem step by step, learning both how to build and...
Summary"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
If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a...
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