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Practical Real-time Data Processing and Analytics by Shilpi Saxena (English) Pap
AU $115.21
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Brand new
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eBay item number:156908239102
Item specifics
- Condition
- ISBN-13
- 9781787281202
- Book Title
- Practical Real-time Data Processing and Analytics
- ISBN
- 9781787281202
- Publication Year
- 2017
- Type
- Textbook
- Format
- Paperback
- Language
- English
- Publication Name
- Practical Real-Time Data Processing and Analytics
- Item Height
- 235 mm
- Publisher
- Packt Publishing Limited
- Subject
- Computer Science
- Item Width
- 191 mm
- Number of Pages
- 360 Pages
About this product
Product Information
A practical guide to help you tackle different real-time data processing and analytics problems using the best tools for each scenario About This Book * Learn about the various challenges in real-time data processing and use the right tools to overcome them * This book covers popular tools and frameworks such as Spark, Flink, and Apache Storm to solve all your distributed processing problems * A practical guide filled with examples, tips, and tricks to help you perform efficient Big Data processing in real-time Who This Book Is For If you are a Java developer who would like to be equipped with all the tools required to devise an end-to-end practical solution on real-time data streaming, then this book is for you. Basic knowledge of real-time processing would be helpful, and knowing the fundamentals of Maven, Shell, and Eclipse would be great. What You Will Learn * Get an introduction to the established real-time stack * Understand the key integration of all the components * Get a thorough understanding of the basic building blocks for real-time solution designing * Garnish the search and visualization aspects for your real-time solution * Get conceptually and practically acquainted with real-time analytics * Be well equipped to apply the knowledge and create your own solutions In Detail With the rise of Big Data, there is an increasing need to process large amounts of data continuously, with a shorter turnaround time. Real-time data processing involves continuous input, processing and output of data, with the condition that the time required for processing is as short as possible. This book covers the majority of the existing and evolving open source technology stack for real-time processing and analytics. You will get to know about all the real-time solution aspects, from the source to the presentation to persistence. Through this practical book, you'll be equipped with a clear understanding of how to solve challenges on your own. We'll cover topics such as how to set up components, basic executions, integrations, advanced use cases, alerts, and monitoring. You'll be exposed to the popular tools used in real-time processing today such as Apache Spark, Apache Flink, and Storm. Finally, you will put your knowledge to practical use by implementing all of the techniques in the form of a practical, real-world use case. By the end of this book, you will have a solid understanding of all the aspects of real-time data processing and analytics, and will know how to deploy the solutions in production environments in the best possible manner. Style and Approach In this practical guide to real-time analytics, each chapter begins with a basic high-level concept of the topic, followed by a practical, hands-on implementation of each concept, where you can see the working and execution of it. The book is written in a DIY style, with plenty of practical use cases, well-explained code examples, and relevant screenshots and diagrams.
Product Identifiers
Publisher
Packt Publishing Limited
ISBN-13
9781787281202
eBay Product ID (ePID)
5046414230
Product Key Features
Subject
Computer Science
Publication Year
2017
Number of Pages
360 Pages
Publication Name
Practical Real-Time Data Processing and Analytics
Language
English
Type
Textbook
Format
Paperback
Dimensions
Item Height
235 mm
Item Width
191 mm
Additional Product Features
Country/Region of Manufacture
United Kingdom
Item description from the seller
Seller business information
VAT number: AU 82107909133, GB 293967539
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