東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Practical Hadoop ecosystem = a defin...

SpringerLink (Online service)

Linked to FindBook

Google Book

Amazon

博客來

Practical Hadoop ecosystem = a definitive guide to Hadoop-related frameworks and tools /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Practical Hadoop ecosystem/ by Deepak Vohra.
Reminder of title:	a definitive guide to Hadoop-related frameworks and tools /
Author:	Vohra, Deepak.
Published:	Berkeley, CA :Apress : : 2016.,
Description:	xx, 421 p. :ill., digital ;24 cm.
[NT 15003449]:	Part I. Fundamentals -- Introduction -- 1. HDFS and MapReduce -- Part II Storing & Querying -- 2. Apache Hive -- 3. Apache HBase -- Part III Bulk Transferring & Streaming -- 4. Apache Sqoop -- 5. Apache Flume -- Part IV Serializing -- 6. Apache Avro -- 7. Apache Parquet -- Part V Messaging & Indexing -- 8. Apache Kafka -- 9. Apache Solr -- 10.Apache Mahout.
Contained By:	Springer eBooks
Subject:	Database management. -
Online resource:	http://dx.doi.org/10.1007/978-1-4842-2199-0
ISBN:	9781484221990$q(electronic bk.)

Practical Hadoop ecosystem = a definitive guide to Hadoop-related frameworks and tools /
Vohra, Deepak.

Practical Hadoop ecosystema definitive guide to Hadoop-related frameworks and tools /[electronic resource] :by Deepak Vohra. - Berkeley, CA :Apress :2016. - xx, 421 p. :ill., digital ;24 cm.

Part I. Fundamentals -- Introduction -- 1. HDFS and MapReduce -- Part II Storing & Querying -- 2. Apache Hive -- 3. Apache HBase -- Part III Bulk Transferring & Streaming -- 4. Apache Sqoop -- 5. Apache Flume -- Part IV Serializing -- 6. Apache Avro -- 7. Apache Parquet -- Part V Messaging & Indexing -- 8. Apache Kafka -- 9. Apache Solr -- 10.Apache Mahout.

This book is a practical guide on using 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 is a practical tutorial on using a 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 these all work together as a cohesive big data development platform. What you'll learn How to set up environment in Linux for Hadoop projects using Cloudera Hadoop Distribution CDH 5. How to run a MapReduce job How to store data with Apache Hive, Apache HBase How to index data in HDFS with Apache Solr How to develop a Kafka messaging system How to develop a Mahout User Recommender System How to stream Logs to HDFS with Apache Flume How to transfer data from MySQL database to Hive, HDFS and HBase with Sqoop How create a Hive table over Apache Solr.

ISBN: 9781484221990$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-2199-0doiSubjects--Uniform Titles:

Apache Hadoop.
Subjects--Topical Terms:

527442
Database management.

LC Class. No.: QA76.9.D3

Dewey Class. No.: 005.74

Practical Hadoop ecosystem = a definitive guide to Hadoop-related frameworks and tools /
LDR:02320nmm a2200289 a 4500 001 2052002
003 DE-He213
005 20170308092134.0
006 m d
007 cr nn 008maaau
008 170421s2016 cau s 0 eng d
020 $a 9781484221990$q(electronic bk.)
020 $a 9781484221983$q(paper)
024 7 $a 10.1007/978-1-4842-2199-0 $2 doi
035 $a 978-1-4842-2199-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D3
082 0 4 $a 005.74 $2 23
090 $a QA76.9.D3 $b V888 2016
100 1 $a Vohra, Deepak. $3 900153
245 1 0 $a Practical Hadoop ecosystem $h [electronic resource] : $b a definitive guide to Hadoop-related frameworks and tools / $c by Deepak Vohra.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2016.
300 $a xx, 421 p. : $b ill., digital ; $c 24 cm.
505 0 $a Part I. Fundamentals -- Introduction -- 1. HDFS and MapReduce -- Part II Storing & Querying -- 2. Apache Hive -- 3. Apache HBase -- Part III Bulk Transferring & Streaming -- 4. Apache Sqoop -- 5. Apache Flume -- Part IV Serializing -- 6. Apache Avro -- 7. Apache Parquet -- Part V Messaging & Indexing -- 8. Apache Kafka -- 9. Apache Solr -- 10.Apache Mahout.
520 $a This book is a practical guide on using 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 is a practical tutorial on using a 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 these all work together as a cohesive big data development platform. What you'll learn How to set up environment in Linux for Hadoop projects using Cloudera Hadoop Distribution CDH 5. How to run a MapReduce job How to store data with Apache Hive, Apache HBase How to index data in HDFS with Apache Solr How to develop a Kafka messaging system How to develop a Mahout User Recommender System How to stream Logs to HDFS with Apache Flume How to transfer data from MySQL database to Hive, HDFS and HBase with Sqoop How create a Hive table over Apache Solr.
630 0 0 $a Apache Hadoop. $3 2059708
650 0 $a Database management. $3 527442
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Big Data. $3 3134868
650 2 4 $a Database Management. $3 891010
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4842-2199-0
950 $a Professional and Applied Computing (Springer-12059)