How Long to Read Practical Real-time Data Processing and Analytics

How Long Does it Take to Read Practical Real-time Data Processing and Analytics?

It takes the average reader 5 hours and 59 minutes to read Practical Real-time Data Processing and Analytics by Shilpi Saxena

Assuming a reading speed of 250 words per minute. Learn more

Description

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.

How long is Practical Real-time Data Processing and Analytics?

Practical Real-time Data Processing and Analytics by Shilpi Saxena is 354 pages long, and a total of 89,916 words.

This makes it 119% the length of the average book. It also has 110% more words than the average book.

How Long Does it Take to Read Practical Real-time Data Processing and Analytics Aloud?

The average oral reading speed is 183 words per minute. This means it takes 8 hours and 11 minutes to read Practical Real-time Data Processing and Analytics aloud.

What Reading Level is Practical Real-time Data Processing and Analytics?

Practical Real-time Data Processing and Analytics is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Practical Real-time Data Processing and Analytics?

Practical Real-time Data Processing and Analytics by Shilpi Saxena is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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