{"id":36075,"date":"2017-09-02T22:17:34","date_gmt":"2017-09-02T22:17:34","guid":{"rendered":"https:\/\/www.whizlabs.com\/?p=36075"},"modified":"2024-05-21T16:40:49","modified_gmt":"2024-05-21T11:10:49","slug":"hadoop-books","status":"publish","type":"post","link":"https:\/\/www.whizlabs.com\/blog\/hadoop-books\/","title":{"rendered":"Top 7 Reference Books for Hadoop Developers"},"content":{"rendered":"

The latest exploration of the new trends in technology and the dramatic impact it has on the economy, science and the society as a whole is the “Big Data” Technology. It refers to the ability to crunch vast information, instantly\u00a0<\/span>analyse it, and d<\/span>raw a pro-founding conclusion. Big Data technology has revolutionised the way people do business. Today, Big Data technology is the greatest buzzword in the tech\u00a0<\/span>industry, and every individual is seeking to make a paradigm career shift in this emergi<\/span>ng and trending technology in Apache\u00a0<\/span>Hadoop<\/span>.<\/span><\/p>\n

Herein is our recommendation for some of the best books to learn\u00a0<\/span>Hadoop<\/span>. Some of the books are for beginners while some are for\u00a0<\/span>MapReduce<\/span> programmers, let\u2019s roll our sleeves<\/span><\/p>\n

1 .\u00a0\u00a0 The Definiti<\/span>ve Guide\u00a0<\/span>by<\/span> Tom White<\/span><\/strong><\/p>\n

The\u00a0Definitive Guide is a comprehensive resource that demonstrates how to use\u00a0Hadoop to build a\u00a0\u00a0\u00a0\u00a0scalable, reliable and distributed system. Additionally, it provides details on how to analyze large sets of data which is ideal for programmers. On the other hand, administrators can get to learn how to setup and run\u00a0Hadoop clusters.<\/p>\n

\"\"<\/p>\n

Complete with illustrations and case studies on how\u00a0Hadoop solves specific problems. Also, it helps in knowing how to:<\/p>\n

\u2666 Use Hadoop Distributed File System to cache large data sets.
\n\u2666 Run distributed computations on specific data sets using\u00a0MapReduce.
\n\u2666 Serialize, integrate, Compress and discover common mistakes and advanced features for building and writing real-world\u00a0MapReduce program designs.<\/p>\n

As a developer, The Definitive Guide helps you in harnessing the power of your\u00a0data. However, beginners may find it hard to understand but to scan through the pages and with reading discipline, you will get most about in this book.<\/p>\n

You can find more information about the book\u00a0 @ http:\/\/shop.oreilly.com\/product\/0636920033448.do<\/a><\/p>\n

2 .\u00a0\u00a0\u00a0 <\/span>MapReduce Design Patterns\u00a0(Building\u00a0Effective Algorithms & Analytics for\u00a0Hadoop)\u00a0by Donald Miner & Adam Shook<\/span><\/strong><\/p>\n

The book presumes the reader has a basic knowledge of\u00a0Hadoop. Additionally, the guide brings together a unique collection of most valuable\u00a0MapReduce patterns that can save you effort and time regardless of the development framework, language or domain you are using.<\/p>\n

Succinctly, each pattern is explicitly explained. From caveats to pitfalls, each step is identified to help readers avoid common\u00a0design mistakes when modeling their big data architecture. Also, it provides a complete review of\u00a0MapReduce.<\/p>\n

\"\"<\/p>\n

The book is best suited for advanced users. It contains various insightful methods on how to solve many\u00a0Hadoop problems quickly. The concepts are summarized with interesting examples for instance in:<\/p>\n

\u2666 Filtering patterns
\n\u2666 Data organization patterns
\n\u2666 Input and output patterns<\/p>\n

This book is indispensable for anyone engrossed in\u00a0Hadoop.\u00a0You can find more information about the book\u00a0 @ http:\/\/shop.oreilly.com\/product\/0636920025122.do<\/a><\/p>\n

3.\u00a0\u00a0 Hadoop in Practice\u00a0<\/span>by<\/span> Alex Holmes<\/span><\/strong><\/p>\n

Probably, this is the best book for practice in\u00a0<\/span>Hadoop<\/span>. It collects nearly over 85 example and presents them in a problem-solution format. Each technique proffered addresses a particular task that you will face for in<\/span>stance writing a log file or querying a big data using Pig.\u00a0<\/span><\/p>\n

The examples are presented in a step-wise format, learning on how to build and deploy specific solutions.<\/span> Also, it introduces you to different methods you can use to integrate\u00a0<\/span>MapReduc<\/span>e<\/span> and R. The author has used simple language making it the ideal book highly recommended for beginners.<\/span><\/p>\n

\"\"<\/p>\n

You can find more information about the book\u00a0 @ https:\/\/www.manning.com\/books\/hadoop-in-practice-second-edition<\/a><\/p>\n

4.\u00a0\u00a0 Hadoop in Action\u00a0<\/span>by Chuck Lam<\/span><\/strong><\/p>\n

Hadoop in Action introduces readers on how to write MapReduce and Hadoop programs. Progressively, the book introduces programming and\u00a0Hadoop terminologies in\u00a0MapReduce. Gradually, its shows worked out examples to illustrate how\u00a0Hadoop is used in complex data analysis task.<\/p>\n

Also, it covers the best design and practices patterns of\u00a0MapReduce programming. Both in implementation and conceptualization,\u00a0MapReduce is a complex idea.<\/p>\n

\"\"<\/p>\n

However, this book takes you far beyond the\u00a0mechanics of running\u00a0Hadoop to writing outstanding programs in\u00a0MapReduce Framework. Notably, it assumes user familiarity with Java. Most of the examples presented are written in Java.\u00a0Basic knowledge in statistical concepts will help the reader appreciate advanced data processing examples.<\/p>\n

You can find more information about the book\u00a0 @ https:\/\/www.manning.com\/books\/hadoop-in-action<\/a><\/p>\n

Interested in increasing your knowledge of the Big Data landscape? Join Big data course<\/a> and explore the opportunities in the world of big data.<\/p><\/blockquote>\n

5.\u00a0\u00a0 Programming Pig\u00a0<\/span>by<\/span> Gates Alan & Daniel Doi<\/span><\/strong><\/p>\n

This is the most outstanding book when learning Apache Pig a\u00a0Hadoop ecosystem component that is\u00a0used in processing data using Pig Latin\u00a0scripts. The book provides basic and advanced level knowledge to readers on Pig including Grunt shell, and user defined functions for extending Pig language and the Pig Latin script language.<\/p>\n

\"\"<\/p>\n

As well, you will learn how Pig converts the scripts to\u00a0MapReduce programs for an effective working\u00a0in\u00a0Hadoop. You can find more information about the book\u00a0 @ https:\/\/www.safaribooksonline.com\/library\/view\/programming-pig-2nd\/9781491937082\/<\/a><\/p>\n

6.\u00a0\u00a0 Professional\u00a0<\/span>Hadoop<\/span> Solutions\u00a0<\/span>by<\/span> Boris Lublinksy, Kevin Smith, and Alexey Yakubovich<\/span><\/strong><\/p>\n

Professional Hadoop Solutions covers storing data with Hadoop Distributed File System and\u00a0HBase, automating data processing with Oozie and MapReduce. As well, it includes\u00a0Hadoop running on AWS (Amazon Web Services),\u00a0Hadoop security, automating Hadoop process in real time and best practices.<\/p>\n

\"\"<\/p>\n

With an in-depth code example in XML, Java and the recent addition to the Hadoop<\/span> ecosystem, this complete guide also highlights the use of APIs, by allowing developers to leverage and custo<\/span>mize the architects to suit their needs.<\/span><\/p>\n

You can find more information about the book\u00a0 @ http:\/\/eu.wiley.com\/WileyCDA\/WileyTitle\/productCd-1118611934.html<\/a><\/p>\n

7.\u00a0\u00a0 Programming Hive<\/span>\u00a0<\/span>by<\/span> D<\/span>ean Wampler, Edward Capriolo &<\/span> Jason Rutherglen<\/span><\/strong><\/p>\n

Do you want to move your relational database application to\u00a0Hadoop? This comprehensive coverage introduces you to Apache Hive, the\u00a0Hadoop warehouse\u00a0infrastructure.<\/p>\n

Through the guide, you will quickly learn on how to use Hives Structured query language (SQL) dialect-to query, analyze,\u00a0and summarize large sets of datasets stored in\u00a0Hadoop’s distributed File system.<\/p>\n

\"\"<\/p>\n

Moreover, the guide is example driven as it shows developers how to setup and configure Hive your environment. It provides a detailed overview on\u00a0MapReduce and\u00a0Hadoop by demonstrating how Hive works within the\u00a0Hadoop ecosystem.<\/p>\n

Also, you will find real world case studies describing how\u00a0companies have used Hive to resolve unique problems\u00a0involving petabytes of data. You can find more information about the book\u00a0 @ http:\/\/shop.oreilly.com\/product\/0636920023555.do<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

The latest exploration of the new trends in technology and the dramatic impact it has on the economy, science and the society as a whole is the “Big Data” Technology. It refers to the ability to crunch vast information, instantly\u00a0analyse it, and draw a pro-founding conclusion. Big Data technology has revolutionised the way people do business. Today, Big Data technology is the greatest buzzword in the tech\u00a0industry, and every individual is seeking to make a paradigm career shift in this emerging and trending technology in Apache\u00a0Hadoop. Herein is our recommendation for some of the best books to learn\u00a0Hadoop. Some of […]<\/p>\n","protected":false},"author":220,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[6],"tags":[422,830],"class_list":["post-36075","post","type-post","status-publish","format-standard","hentry","category-big-data","tag-big-data","tag-hadoop"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"profile_24":false,"profile_48":false,"profile_96":false,"profile_150":false,"profile_300":false,"tptn_thumbnail":false,"web-stories-poster-portrait":false,"web-stories-publisher-logo":false,"web-stories-thumbnail":false},"uagb_author_info":{"display_name":"Aditi Malhotra","author_link":"https:\/\/www.whizlabs.com\/blog\/author\/aditi\/"},"uagb_comment_info":16,"uagb_excerpt":"The latest exploration of the new trends in technology and the dramatic impact it has on the economy, science and the society as a whole is the “Big Data” Technology. It refers to the ability to crunch vast information, instantly\u00a0analyse it, and draw a pro-founding conclusion. Big Data technology has revolutionised the way people do…","_links":{"self":[{"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/posts\/36075","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/users\/220"}],"replies":[{"embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/comments?post=36075"}],"version-history":[{"count":3,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/posts\/36075\/revisions"}],"predecessor-version":[{"id":96283,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/posts\/36075\/revisions\/96283"}],"wp:attachment":[{"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/media?parent=36075"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/categories?post=36075"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/tags?post=36075"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}