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Hbase Essentials

You're reading from Hbase Essentials A practical guide to realizing the seamless potential of storing and managing high-volume, high-velocity data quickly and painlessly with HBase

Product type Paperback

Published in Nov 2014

Publisher

ISBN-13 9781783987245

Length 164 pages

Edition 1st Edition

Languages

Java

Tools

HBase

Concepts

Databases

Author (1):

Nishant Garg

View More author details

Table of Contents (9) Chapters

Preface

1. Introducing HBase

2. Defining the Schema FREE CHAPTER

3. Advanced Data Modeling

4. The HBase Architecture

5. The HBase Advanced API

6. HBase Clients

7. HBase Administration

Index

Summary

In this chapter, we learned about the advanced data modeling concepts such as understanding keys in HBase. We learned the basics of table scanning in HBase and the types of available filters. We also covered the application of these filters for table scan operations using examples.

In the next chapter, we will take a look at HBase storage and the replication architecture and also cover HBase over MapReduce in detail.

The rest of the chapter is locked

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Authors (1)

Garg

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.

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