Practical Hadoop Ecosystem (Paperback)
Language: English
Published by APress, Berkley, 2016
- First Edition
- Softcover
- New
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
AbeBooks seller since June 22, 2007
Condition: New
US$ 242.20
Quantity: 1 available
Add to basketItem description from seller
Paperback. Learn how to use the Apache Hadoop projects, including MapReduce, HDFS, Apache Hive, Apache HBase, Apache Kafka, Apache Mahout, and Apache Solr. From setting up the environment to running sample applications each chapter in this book is a practical tutorial on using an Apache Hadoop ecosystem project.While several books on Apache Hadoop are available, most are based on the main projects, MapReduce and HDFS, and none discusses the other Apache Hadoop ecosystem projects and how they all work together as a cohesive big data development platform.What You Will Learn:Set up the environment in Linux for Hadoop projects using Cloudera Hadoop Distribution CDH 5Run a MapReduce jobStore data with Apache Hive, and Apache HBaseIndex data in HDFS with Apache SolrDevelop a Kafka messaging systemStream Logs to HDFS with Apache FlumeTransfer data from MySQL database to Hive, HDFS, and HBase with SqoopCreate a Hive table over Apache SolrDevelop a Mahout User Recommender SystemWho This Book Is For:Apache Hadoop developers. Pre-requisite knowledge of Linux and some knowledge of Hadoop is required. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…
Seller Inventory # 9781484221983
- Title
- Practical Hadoop Ecosystem (Paperback)
- Author
- Deepak Vohra
- Publisher
- APress, Berkley
- Publication year
- 2016
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1484221982
- ISBN 13
- 9781484221983
- Edition
- 1st Edition
Learn how to use the Apache Hadoop projects, including MapReduce, HDFS, Apache Hive, Apache HBase, Apache Kafka, Apache Mahout, and Apache Solr. From setting up the environment to running sample applications each chapter in this book is a practical tutorial on using an Apache Hadoop ecosystem project.
While several books on Apache Hadoop are available, most are based on the main projects, MapReduce and HDFS, and none discusses the other Apache Hadoop ecosystem projects and how they all work together as a cohesive big data development platform.
- Set up the environment in Linux for Hadoop projects using Cloudera Hadoop Distribution CDH 5
- Run a MapReduce job
- Store data with Apache Hive, and Apache HBase
- Index data in HDFS with Apache Solr
- Develop a Kafka messaging system
- Stream Logs to HDFS with Apache Flume
- Transfer data from MySQL database to Hive, HDFS, and HBase with Sqoop
- Create a Hive table over Apache Solr
- Develop a Mahout User Recommender System
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
AussieBookSeller
Truganina, VIC, Australia
AbeBooks seller since June 22, 2007
Shipping rates from Australia to U.S.A.
| Item | 25 to 45 business days | 8 to 14 business days |
|---|---|---|
| First item | US$ 37.00 | US$ 44.00 |
Payment methods
Seller's business information
The Nile Group Pty Ltd
42 Apex Drive
Truganina, VIC Australia 3029
Terms of sale
We guarantee the condition of every book as it's described on the Abebooks web sites. If you're dissatisfied with your purchase (Incorrect Book/Not as Described/Damaged) or if the order hasn't arrived, you're eligible for a refund within 30 days of the estimated delivery date. If you've changed your mind about a book that you've ordered, please use the Ask bookseller a question link to contact us and we'll respond within 2 business days.
Shipping terms
Please note that titles are dispatched from our UK and NZ warehouse. Delivery times specified in shipping terms. Orders ship within 2 business days. Delivery to your door then takes 8-15 days.