Introducing Hadoop books by Packt
Hadoop MapReduce Cookbook
Hadoop Real-World Solutions Cookbook
Hadoop Beginner’s Guide
Apache Hadoop is a popular open source project that enables the distributed processing of large data sets across clusters of commodity servers. The software framework was named after Doug Cutting’s son’s toy elephant, and was originally developed to support distribution for the Nutch search engine project. All the big names use Hadoop, including Yahoo!, Facebook, Google, IBM, Twitter, Apple, and eBay.
Published in January, Hadoop MapReduce Cookbook is a one-stop guide to processing large and complex data sets using the Hadoop ecosystem. The book has more than 50 ready-to-use recipes with step-by-step instructions and real world examples, guiding the reader through solving simple examples to begin with, then on to in-depth, big data use cases.
The book covers many interesting and important topics, such as setting up Hadoop security, using MapReduce to solve analytics, classifications, on-line marketing, recommendations, and searching use cases.
The next installments in the Packt Hadoop book series, Hadoop Real-World Solutions Cookbook and Hadoop Beginner’s Guide, are February publications.
Hadoop Real-World Solutions Cookbook is aimed at developers who want a better understanding of Hadoop application development and associated tools. The book will teach readers how to build solutions using tools such as Apache Hive, MapReduce, Mahout, Giraph, HDFS, Accumulo, Redis, and Ganglia.
Hadoop Beginner’s Guide walks the reader through Hadoop and its related technologies,with a focus on building working systems and using cloud services. The book is packed with clear, step-by-step instructions and takes readers from basic concepts and initial setup through to developing applications and keeping the system running as the amount of data grows.
These books are ideal for data enthusiasts who are looking forward to discovering Hadoop, as well as being useful resources for problem solving. The books are now available for purchase in print and select popular eBook formats from the Packt website.
Packt is one of the most prolific and fast-growing tech book publishers in the world. Originally focused on open source software, Packt pays a royalty on relevant books directly to open source projects. These projects have received over $400,000 as part of Packt’s Open Source Royalty Scheme to date.
Our books focus on practicality, recognising that readers are ultimately concerned with getting the job done. Packt’s digitally-focused business model allows us to publish up-to-date books in very specific areas.
107, Marol Co-operative Ind. Estate
Sag Baug Lane
Mumbai - 400 059
This release was published on openPR.
Permanent link to this press release:
Please set a link in the press area of your homepage to this press release on openPR. openPR disclaims liability for any content contained in this release.
You can edit or delete your press release Introducing Hadoop books by Packt here
News-ID: 254675 • Views: 1717
More Releases from Packt Publishing
Packt’s $5 eBonanza returns
Following the success of last year’s festive offer, Packt Publishing will be celebrating the Holiday season with an even bigger $5 offer. From Thursday 18th December, every eBook and video will be available on the publisher’s website for just $5. Customers are invited to purchase as many as they like before the offer ends on Tuesday January 6th, making it the perfect opportunity to try something new or to take your
Packt Publishing releases its first Drupal Mini books
Packt Publishing has recently published its first three Mini books about Drupal, the open source Content Management System. Packt Publishing has released three Drupal books in its new Mini book format; the ‘Drush User’s Guide’, ‘Drupal Multi Sites Configuration’ and ‘Drupal 7 Multilingual Sites’. Packt Mini books are 100 pages of practical guides on one specific task, application or module. Readers who need to master Drupal’s command line interface, Drush,
Explore NumPy from scratch with Packt's NumPy Beginner's Guide
Packt recently released its first book on NumPy, titled “NumPy 1.5 Beginner's Guide”, written by Ivan Idris. The book comes packed with real world examples enabling readers to perform high performance calculations with efficient NumPy code, execute complex linear algebra and mathematical computations, and analyze large data sets with statistical functions. NumPy is the fundamental package needed for scientific computing with Python. Among other things, it contains a powerful N-dimensional array
Design well-structured, interactive, and successful courses with Packt's new Moo …
Moodle 2.0 E-Learning Course Development is a new book from Packt that covers everything that can be expected from an introduction to Moodle book: clear step-by-step instructions, plenty of screenshots, explanations that guides the user through the many features and options available. Written by William Rice, this book will assist educators to analyze their students' requirements and come to an understanding of what Moodle 2.0 can do for them. For
More Releases for Hadoop
Global Hadoop Market Snapshot by 2019
Global Hadoop Market reports are thorough analysis a careful investigation of around the world which enables the client to assess the long haul based request and predicts exact executions. The development rate which is really anticipated relying upon the scholarly examination gives thorough data on the overall Hadoop industry. Access Full Information @ http://researchreport.biz/global-hadoop-market/ The drivers and restrictions are really assembled after the entire consciousness of the worldwide industry development. Likewise,
Hadoop Market - Cloudera, Horton Works, IBM, Pentaho
MarketResearchReports.Biz adds “Global Hadoop Market Share, Size, Trends and Forecast Market Research Report” reports to its database. This report provides a strategic analysis of the Hadoop market and the growth estimates for the forecasted period. The main objective of this report is to aid the user in understanding the market as a whole, its definitions, segmentation, market potential, influential trends, and the barriers that it is facing. Meticulous research and analysis
Hadoop Market - Next Generation Data-Based Applications
Characterized by a consolidated vendor landscape, leading players in the global Hadoop market are vying to acquire smaller ones to strengthen their competitive position. Mergers and acquisition and partnerships are key growth strategies adopted by leading players to buoy growth. This is to penetrate into regional markets that hold immense potential for hadoop. Apart from this, leading players are focused on developing their own version of Hadoop to up their
Hadoop Market 2022: Business Development Analysis
Global Hadoop Market Professional Survey Report 2016 by Analysis, Research, Share, Growth, Sales, Trends, Supply, Forecast to 2021 The report systematically analyzes the most essential details of the Global Hadoop Market with the help of an in-depth and specialized analysis. Defined in a ground-up manner, the report presents a comprehensive synopsis of the market based on the factors that are predictable to have a considerable and determinate impact on the market’s
Hadoop Market Asia Pacific Most Lucrative Region
The vast shortage of data analysts capable of analyzing big data and the rising popularity of data analytics for uncovering unknown data correlations, hidden consumption patterns, market trends, and consumer preferences have strengthened the position of Hadoop in business circles in the past few years, points TMR. Hadoop is now considered an excellent substitute to human resources for effective data analysis and continues to expand its array of end-use industries. The
Hadoop Market is Driven by Healthcare
Hadoop is a Java-based open source programming framework sponsored by Apache Software Foundation, which enables the processing of large data sets in a distributed computing environment. Hadoop has two main subprojects, namely – MapReduce and Hadoop Distributed File System (HDFS). MapReduce is a framework that assigns work to the clusters in a node, whereas HDFS is a file system used for data storage in a Hadoop cluster. Since its inception