Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Mastering Hadoop

You're reading from   Mastering Hadoop Go beyond the basics and master the next generation of Hadoop data processing platforms

Arrow left icon
Product type Paperback
Published in Dec 2014
Publisher
ISBN-13 9781783983643
Length 374 pages
Edition 1st Edition
Tools
Arrow right icon
Author (1):
Arrow left icon
Sandeep Karanth Sandeep Karanth
Author Profile Icon Sandeep Karanth
Sandeep Karanth
Arrow right icon
View More author details
Toc

Table of Contents (15) Chapters Close

Preface 1. Hadoop 2.X FREE CHAPTER 2. Advanced MapReduce 3. Advanced Pig 4. Advanced Hive 5. Serialization and Hadoop I/O 6. YARN – Bringing Other Paradigms to Hadoop 7. Storm on YARN – Low Latency Processing in Hadoop 8. Hadoop on the Cloud 9. HDFS Replacements 10. HDFS Federation 11. Hadoop Security 12. Analytics Using Hadoop A. Hadoop for Microsoft Windows Index

Avro serialization


Avro is a popular data serialization framework that is part of Apache Software Foundation. Its key features are as follows:

  • It supports a number of data structures for serialization.

  • It is neutral to particular programming languages and provides fast and compact binary serialization.

  • Code generation is optional in Avro. Data can be read, written, or used in RPCs without having to generate classes or code.

Avro uses schemas during the reading and writing of data. Schemas make the compact representation of the serialized object conducive. The self-describing capability of schemas makes it possible to get rid of object-type metadata to be present along with the serialized byte stream, the method used in Java serialization. The schemas are described in the Javascript Object Notation (JSON) format that has evolved as a popular object description notation on the Web. Schema changes can be handled by having both the old and new schema available when processing data.

The following...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image