Real Time Streaming with Apache Kafka, Spark and Storm by Brindha Priyadarshini Jeyaraman [Paperback]

Tame the Real-Time Data Stream: Master Kafka, Spark, and Storm with this Practical Guide

Unlock the Power of Real-Time Data Insights with "Real-Time Streaming with Apache Kafka, Spark, and Storm"

In today's data-driven world, the ability to analyze information as it happens is critical. "Real-Time Streaming with Apache Kafka, Spark, and Storm" by Brindha Priyadarshini Jeyaraman equips you with the knowledge and skills to build robust systems that process and analyze real-time data streams.

This book is a comprehensive guide for software developers, data scientists, and big data architects who want to harness the power of Apache Kafka, Spark, and Storm. Jeyaraman, an expert in data analytics systems, provides a clear and practical approach to mastering these transformative technologies.

Key Features:

Hands-on Learning: Extensive practical demonstrations with code examples guide you through implementing Kafka producers, consumers, and core functionalities.
Visual Learning: Graphical explanations simplify complex concepts, making it easier to understand Kafka Producer and Consumer commands and methods.
Integration Expertise: Gain in-depth knowledge of integrating Spark-Kafka and Kafka-Storm architectures to build a holistic real-time data processing platform.
What You'll Learn:

Apache Kafka Deep Dive: Grasp the architecture of Kafka, its components, and how to set up and configure a Kafka cluster. Implement the Kafka publisher-subscriber system using Java in Eclipse.

Apache Storm in Action: Understand the core concepts of Apache Storm, including Spouts and Bolts. Learn how to build a transaction alert system using Storm.
Apache Spark Essentials: Explore Spark's core concepts, applications, and its use in implementing microservices. Discover two effective approaches for integrating Spark and Kafka.

Big Data Expertise: Transition from software engineer to big data engineer and architect by gaining knowledge of big data processing and the intricacies of Kafka, Storm, and Spark Streaming.
Beyond the Basics:

This book goes beyond theoretical concepts. Jeyaraman provides practical guidance on:

Creating Kafka producers, consumers, and brokers using the command line.
Implementing a complete Kafka messaging system with Java.
Installing and managing a Storm cluster.

Building a Storm topology with Spouts and Bolts for a real-world transaction alert system.
Who Will Benefit from This Book

Software Developers seeking to expand their skillset into real-time data processing.
Data Scientists eager to leverage real-time data for advanced analytics.
Big Data Architects looking to design and build robust real-time data pipelines.
Prior knowledge of a programming language like Java or Python is recommended to fully grasp the concepts presented.

"Real-Time Streaming with Apache Kafka, Spark, and Storm" is an invaluable resource for anyone who wants to unlock the power of real-time data and transform it into actionable insights.