INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
978-1784391409 |
DEWEY DECIMAL CLASSIFICATION NUMBER |
Call number |
. |
MAIN ENTRY--PERSONAL NAME |
Authors |
Gupta, Sumit |
TITLE STATEMENT |
Title |
Real-time big data analytics : |
Subtitle |
design, process, and analyze large sets of complex |
Statement of responsibility, etc |
Sumit Gupta, Shilpi Saxena |
PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication |
Birmingham : |
Publisher |
Packt Publishing Ltd, |
Date |
c2016. |
PHYSICAL DESCRIPTION |
Extent |
xiii, 299 p. : |
Other Details |
ill. ; |
Size |
24 cm. |
GENERAL NOTE |
General note |
Cover : Community experience distilled. |
SUMMARY |
Summary |
Enterprise has been striving hard to deal with the challenges of data arriving in real time or near real time. Although there are technologies such as Storm and Spark (and many more) that solve the challenges of real-time data, using the appropriate technology/framework for the right business use case is the key to success. This book provides you with the skills required to quickly design, implement and deploy your real-time analytics using real-world examples of big data use cases. From the beginning of the book, we will cover the basics of varied real-time data processing frameworks and technologies. We will discuss and explain the differences between batch and real-time processing in detail, and will also explore the techniques and programming concepts using Apache Storm. |
SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Heading |
Database management |
ADDED ENTRY |
Name |
Saxena, Shilpi |
ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
https://uowd.box.com/s/2glxikuzj0wtk1gbox3iexrxsdoyx9b7 |
Public note |
Location Map |
MAIN ENTRY--PERSONAL NAME |
-- |
63329 |
SUBJECT ADDED ENTRY--TOPICAL TERM |
-- |
580 |
ADDED ENTRY |
-- |
63330 |