Senin, 02 September 2013

[E262.Ebook] PDF Ebook Hadoop Essentials - Tackling the Challenges of Big Data with Hadoop (Community Experience Distilled), by Shiva Achari

PDF Ebook Hadoop Essentials - Tackling the Challenges of Big Data with Hadoop (Community Experience Distilled), by Shiva Achari

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Hadoop Essentials - Tackling the Challenges of Big Data with Hadoop (Community Experience Distilled), by Shiva Achari

Hadoop Essentials - Tackling the Challenges of Big Data with Hadoop (Community Experience Distilled), by Shiva Achari



Hadoop Essentials - Tackling the Challenges of Big Data with Hadoop (Community Experience Distilled), by Shiva Achari

PDF Ebook Hadoop Essentials - Tackling the Challenges of Big Data with Hadoop (Community Experience Distilled), by Shiva Achari

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Hadoop Essentials - Tackling the Challenges of Big Data with Hadoop (Community Experience Distilled), by Shiva Achari

Key Features

  • Get to grips with the most powerful tools in the Hadoop ecosystem, including Storm and Spark
  • Learn everything you need to take control of Big Data
  • A fast-paced journey through the key features of Hadoop
Book Description

This book jumps into the world of Hadoop and its tools, to help you learn how to use them effectively to optimize and improve the way you handle Big Data.

Starting with the fundamentals Hadoop YARN, MapReduce, HDFS, and other vital elements in the Hadoop ecosystem, you will soon learn many exciting topics such as MapReduce patterns, data management, and real-time data analysis using Hadoop. You will also explore a number of the leading data processing tools including Hive and Pig, and learn how to use Sqoop and Flume, two of the most powerful technologies used for data ingestion. With further guidance on data streaming and real-time analytics with Storm and Spark, Hadoop Essentials is a reliable and relevant resource for anyone who understands the difficulties - and opportunities - presented by Big Data today.

With this guide, you'll develop your confidence with Hadoop, and be able to use the knowledge and skills you learn to successfully harness its unparalleled capabilities.

What you will learn
  • Get to grips with the fundamentals of Hadoop, and tools such as HDFS, MapReduce, and YARN
  • Learn how to use Hadoop for real-world Big Data projects
  • Improve the performance of your Big Data architecture
  • Find out how to get the most from data processing tools such as Hive and Pig
  • Learn how to unlock real-time Big Data analytics with Apache Spark
About the Author

Shiva Achari has more than 8 years of extensive industry experience and is currently working as a Big Data Architect consultant with companies such as Oracle and Teradata. Over the years, he has architected, designed, and developed multiple innovative and high-performance large-scale solutions, such as distributed systems, data centers, big data management tools, SaaS cloud applications, Internet applications, and Data Analytics solutions.

Table of Contents
  • Introduction to Big Data and Hadoop
  • Hadoop Ecosystem
  • Pillars of Hadoop HDFS, MapReduce, and YARN
  • Data Access Components Hive and Pig
  • Storage Component HBase
  • Data Ingestion in Hadoop Sqoop and Flume
  • Streaming and Real-time Analysis Storm and Spark
    • Sales Rank: #2652413 in Books
    • Published on: 2015-04-24
    • Released on: 2015-04-29
    • Original language: English
    • Number of items: 1
    • Dimensions: 9.25" h x .44" w x 7.50" l, .76 pounds
    • Binding: Paperback
    • 172 pages

    About the Author

    Shiva Achari

    Shiva Achari has over 8 years of extensive industry experience and is currently working as a Big Data Architect consultant with companies such as Oracle and Teradata. Over the years, he has architected, designed, and developed multiple innovative and high-performance large-scale solutions, such as distributed systems, data centers, big data management tools, SaaS cloud applications, Internet applications, and Data Analytics solutions. He is also experienced in designing big data and analytics applications, such as ingestion, cleansing, transformation, correlation of different sources, data mining, and user experience in Hadoop, Cassandra, Solr, Storm, R, and Tableau. He specializes in developing solutions for the big data domain and possesses sound hands-on experience on projects migrating to the Hadoop world, new developments, product consulting, and POC. He also has hands-on expertise in technologies such as Hadoop, Yarn, Sqoop, Hive, Pig, Flume, Solr, Lucene, Elasticsearch, Zookeeper, Storm, Redis, Cassandra, HBase, MongoDB, Talend, R, Mahout, Tableau, Java, and J2EE. He has been involved in reviewing Mastering Hadoop, Packt Publishing. Shiva has expertise in requirement analysis, estimations, technology evaluation, and system architecture along with domain experience in telecoms, Internet applications, document management, healthcare, and media. Currently, he is supporting presales activities such as writing technical proposals (RFP), providing technical consultation to customers, and managing deliveries of big data practice groups in Teradata.

    Most helpful customer reviews

    3 of 3 people found the following review helpful.
    The worst technical book I had ever read.
    By Shopperpro
    I had never written a review on any of the books I previously purchased, but after I have started reading this one, I felt a very strong desire to write one.
    I give this book 1 start for two reasons:
    1. Language. In the nutshell it is written in broken English. I am not a native English speaker myself and I would never have the nerves to write a book in English for the mass consumption, but I think I could have done a better job. Shame on the editors and the publisher.
    2. Content. This is not really a book. It's just a collection of poorly written and organized technical documentation with a lot of repetitions and inconsistencies. It can't be used neither as a textbook, nor as a reference material.
    In a summary, this is the worst technical book that I had ever read. I can't believe it got published. Total waiste of money.

    0 of 0 people found the following review helpful.
    "Hadoop Essentials" Review
    By PJG
    This is a very detailed introductory guide to Hadoop. The key question is: how does it rate against the millions of other Hadoop books in existence?

    At 194 pages, this is a slim volume when compared to "Hadoop: The Definitive Guide", but in terms of content it's suprisingly packed. Chapter 3, which covers HDFS, MapReduce, and YARN, is a good case in point: there's quite a lot of depth here, but the number of diagrams really helps clarify what is a fairly whistle-stop tour through fundamental Hadoop building blocks. Later chapters give a detailed overview of Hbase, Sqoop and Flume and these are useful. Spark and Storm are covered, with a brief note on Lambda architectures.

    Overall, this is quite a nice reference, although the small page count does reflect a rather terse style and I don't think it would be a particularly easy book to learn from for a newcomer to Hadoop. However, sometimes it's useful to have a rapid overview with just the distilled, essential facts and the book certainly achieves that.

    0 of 0 people found the following review helpful.
    Essential, clear and complete for an initial overview
    By Francesco Corti
    I think this is a nice book for developers and software architect with no relevant experience in big data and Apache Hadoop. Big data is definitely an IT buzzword but this book tries to make order in the today’s scenario, with an practical an interesting look at the Apache Hadoop implementation. I enjoyed reading this book and I think I will fix in my mind some of the initial descriptions of the introductory part that I find very rational and clear. Nice job, Shiva.

    See all 5 customer reviews...

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