Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Practical Real-time Data Processing and Analytics:
Thể loại:Computers - Databases
Năm:2017
Nhà xuát bản:Packt Publishing - ebooks Account
Ngôn ngữ:english
Trang: 422
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.
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