Practical Hadoop Ecosystem A Definitive Guide to Hadoop-Related Frameworks and Tools /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Vohra, Deepak (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berkeley, CA : Apress : Imprint: Apress, 2016.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 02702nam a22003735i 4500
001 978-1-4842-2199-0
003 DE-He213
005 20160930104941.0
007 cr nn 008mamaa
008 160930s2016 xxu| s |||| 0|eng d
020 |a 9781484221990  |9 978-1-4842-2199-0 
024 7 |a 10.1007/978-1-4842-2199-0  |2 doi 
040 |d GrThAP 
100 1 |a Vohra, Deepak.  |e author. 
245 1 0 |a Practical Hadoop Ecosystem  |h [electronic resource] :  |b A Definitive Guide to Hadoop-Related Frameworks and Tools /  |c by Deepak Vohra. 
264 1 |a Berkeley, CA :  |b Apress :  |b Imprint: Apress,  |c 2016. 
300 |a XX, 421 p. 311 illus., 293 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
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. 
650 0 |a Computer science. 
650 0 |a Database management. 
650 1 4 |a Computer Science. 
650 2 4 |a Big Data. 
650 2 4 |a Database Management. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781484221983 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4842-2199-0  |z Full Text via HEAL-Link 
912 |a ZDB-2-CWD 
950 |a Professional and Applied Computing (Springer-12059)