Practical Real-time Data Processing and Analytics

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. About the Author Shilpi Saxena is an IT professional and also a technology evangelist. She is an engineer who has had exposure to various domains (machine to machine space healthcare telecom hiring and manufacturing). She has experience in all the aspects of conception and execution of enterprise solutions. She has been architecting managing and delivering solutions in the big data space for the last 3 years. She also handles a high-performance and geographically-distributed team of elite engineers. Shilpi has more than 12 years (3 years in the big data space) of experience in the development and execution of various facets of enterprise solutions both in the products and services dimensions of the software industry. An engineer by degree and profession she has worn varied hats such as developer technical leader product owner tech manager and so on and she has seen all the flavors that the industry has to offer. She has architected and worked through some of the pi