Hadoop Essentials - Couverture souple

Shiva Achari

Couverture souple

ISBN 10 : 1784396680 ISBN 13 : 9781784396688

Editeur : Packt Publishing, 2015

Synopsis

If you are a system or application developer interested in learning how to solve practical problems using the Hadoop framework, then this book is ideal for you. This book is also meant for Hadoop professionals who want to find solutions to the different challenges they come across in their Hadoop projects. It assumes familiarity with distributed storage and distributed applications.

A propos du livre

Présentation de l'éditeur

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

1. Introduction to Big Data and Hadoop
2. Hadoop Ecosystem
3. Pillars of Hadoop – HDFS, MapReduce, and YARN
4. Data Access Components – Hive and Pig
5. Storage Component – HBase
6. Data Ingestion in Hadoop – Sqoop and Flume
7. Streaming and Real-time Analysis – Storm and Spark

Biographie de l'auteur

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. He is active on his LinkedIn page at http://in.linkedin.com/in/shivaachari/.

Détails de l'édition

• Éditeur: Packt Publishing
• Date d'édition: 2015
• Langue: anglais
• ISBN 10: 1784396680
• ISBN 13: 9781784396688
• Reliure: Broché
• Nombre de pages: 172
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Allemagne