Real-time big data analytics : design, process, and analyze large sets of complex
By: Gupta, Sumit
Title By: Saxena, Shilpi
Material type:
BookPublisher: Birmingham : Packt Publishing Ltd, c2016.Description: xiii, 299 p. : ill. ; 24 cm.ISBN: 978-1784391409Subject(s): Database managementDDC classification: . Online resources: Location Map | Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
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| REGULAR | University of Wollongong in Dubai Main Collection | 658.0557 GU RE (Browse shelf) | Available | T0054157 |
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| 658.054678 TU EL Electronic commerce 2008 : | 658.054678 TU EL Electronic commerce 2010 : | 658.054678 TU EL Electronic commerce 2010 : | 658.0557 GU RE Real-time big data analytics : | 658.0557 KA DI Digital transformation of enterprise architecture / | 658.0558 AU CH Auditing information systems / | 658.0558 HA IN Information technology auditing and assurance / |
Cover : Community experience distilled.
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.