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You're reading from  HBase Essentials

Product typeBook
Published inNov 2014
Reading LevelIntermediate
Publisher
ISBN-139781783987245
Edition1st Edition
Languages
Java
Tools
HBase
Concepts
Databases
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Author (1)
Nishant Garg
Nishant Garg
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Nishant Garg

Nishant Garg has over 17 years' software architecture and development experience in various technologies, such as Java Enterprise Edition, SOA, Spring, Hadoop, Hive, Flume, Sqoop, Oozie, Spark, Shark, YARN, Impala, Kafka, Storm, Solr/Lucene, NoSQL databases (such as HBase, Cassandra, and MongoDB), and MPP databases (such as GreenPlum). He received his MS in software systems from the Birla Institute of Technology and Science, Pilani, India, and is currently working as a technical architect for the Big Data RandD Group with Impetus Infotech Pvt. Ltd. Previously, Nishant has enjoyed working with some of the most recognizable names in IT services and financial industries, employing full software life cycle methodologies such as Agile and SCRUM. Nishant has also undertaken many speaking engagements on big data technologies and is also the author of Apache Kafka and HBase Essentials, Packt Publishing.
Read more about Nishant Garg

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The Hadoop ecosystem client

So far, we discussed that HBase clients which work in the interactive mode are synchronous in nature. For batch processing that runs background work such as building search indexes, building statistical data for reporting needs, and so on, a Hadoop ecosystem client such as Hive is used.

Note

The Hadoop MapReduce framework is used to process a large scale of data. For these MapReduce jobs, Hbase can be used in variety of ways such as data source or target or both. This section does not talk about MapReduce usage as it is already covered in the previous chapter.

Hive

Hive is a data warehouse infrastructure built on top of Hadoop. Hive provides a SQL-like query language called HiveQL that allows querying the semi-structured data stored in Hadoop. This query is converted into a MapReduce job and is executed as a MapReduce cluster. These jobs, like any other MR (MapReduce) job, can read and process data other than the Hive table stored on HDFS. In Hive, tables can be defined...

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HBase Essentials
Published in: Nov 2014Publisher: ISBN-13: 9781783987245
© 2014 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Nishant Garg

Nishant Garg has over 17 years' software architecture and development experience in various technologies, such as Java Enterprise Edition, SOA, Spring, Hadoop, Hive, Flume, Sqoop, Oozie, Spark, Shark, YARN, Impala, Kafka, Storm, Solr/Lucene, NoSQL databases (such as HBase, Cassandra, and MongoDB), and MPP databases (such as GreenPlum). He received his MS in software systems from the Birla Institute of Technology and Science, Pilani, India, and is currently working as a technical architect for the Big Data RandD Group with Impetus Infotech Pvt. Ltd. Previously, Nishant has enjoyed working with some of the most recognizable names in IT services and financial industries, employing full software life cycle methodologies such as Agile and SCRUM. Nishant has also undertaken many speaking engagements on big data technologies and is also the author of Apache Kafka and HBase Essentials, Packt Publishing.
Read more about Nishant Garg

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