Packt+ | Advance your knowledge in tech

0

All Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Practical Real-time Data Processing and Analytics

You're reading from Practical Real-time Data Processing and Analytics Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka

Product type Paperback

Published in Sep 2017

Publisher Packt

ISBN-13 9781787281202

Length 360 pages

Edition 1st Edition

Languages

Processing

Tools

Apache Spark

Concepts

Data Analysis

Authors (2):

Shilpi Saxena

Saurabh Gupta

View More author details

Table of Contents (20) Chapters

Title Page

Credits

About the Authors

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Introducing Real-Time Analytics FREE CHAPTER

2. Real Time Applications – The Basic Ingredients

3. Understanding and Tailing Data Streams

4. Setting up the Infrastructure for Storm

5. Configuring Apache Spark and Flink

6. Integrating Storm with a Data Source

7. From Storm to Sink

8. Storm Trident

9. Working with Spark

10. Working with Spark Operations

11. Spark Streaming

12. Working with Apache Flink

13. Case Study

Spark – packaging and API

Now that the readers have been well acquainted with the architecture and basic data flow of Spark, in the following section we will take the journey to the next step and get the users acquainted with the programming paradigms and APIs that are used frequently to build varied custom solutions around Spark.

As we know by now, the Spark framework is developed in Scala, but it provides a facility for developers to interact, develop, and customize the framework using Scala, Python, and Java APIs too. For the context of this discussion, we will limit our learning to Scala and Java APIs.

Spark APIs can be categorized into two broad segments:

Spark core
Spark extensions

As depicted in the preceding diagram, at high level, the Spark codebase is divided into two packages:

Spark extensions: All API's for the particular extension are packaged in their own package structure. For example, all API's for Spark Streaming are packaged in the org.apache.spark.streaming.* package and the...

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $15.99/month. Cancel anytime

Authors (2)

Shilpi Saxena

Shilpi Saxena

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 pioneers' production implementations in Big Data on Storm and Impala with autoscaling in AWS. Shilpi has also authored Real-time Analytics with Storm and Cassandra (https://www.packtpub.com/big-data-and-business-intelligence/learning-real-time-analytics-storm-and-cassandra) with Packt Publishing.

See other products by Shilpi Saxena

Saurabh Gupta

Saurabh Gupta

Saurabh Gupta is an software engineer who has worked aspects of software requirements, designing, execution, and delivery. Saurabh has more than 3 years of experience working in Big Data domain. Saurabh is handling and designing real time as well as batch processing projects running in production including technologies like Impala, Storm, NiFi, Kafka and deployment on AWS using Docker. Saurabh also worked in product development and delivery. Saurabh has total 10 years (3+ years in Big Data) rich experience in IT industry. Saurabh has exposure in various IOT use-cases including Telecom, HealthCare, Smart city, Smart cars and so on.

See other products by Saurabh Gupta

Other recommended products

Related to this chapter

Mastering Apache Storm

Mastering Apache Storm

With real-world examples and clear explanations, this book will ensure you will have a thorough mastery Apache Storm.You'll get an understanding of deploying Storm on clusters. Introduce yourself to topics such as trident topology, monitoring, Storm Parallelism, scheduler and log processing. Learn how to integrate Storm with other well-known Big Data technologies such as HBase, Redis, Kafka, and Hadoop to realize the full potential of Storm.You will be able to use the knowledge to develop efficient, distributed real-time applications to cater to your business needs.

Aug 2017 9h 28m

Apache Kafka 1.0 Cookbook

Apache Kafka 1.0 Cookbook

Apache Kafka is an open source stream processing platform to handle real-time data feeds. This book is a highly practical guide to help you understand the fundamentals as well as the advanced applications of Apache Kafka as an enterprise messaging service. It begins with configuring the basic Kafka APIs, and then shows you how to set up Kafka clusters and basic Kafka operations. It covers the recently released Kafka version 1.0, the Confluent Platform and Kafka Streams. By the end of this book, you will have all the knowledge you need to take your understanding of Apache Kafka to the next level and tackle any problem you might encounter while working with it.

Dec 2017 8h 20m

Learning Apache Flink

Learning Apache Flink

Feb 2017 9h 20m

Building Data Streaming Applications with Apache Kafka

Building Data Streaming Applications with Apache Kafka

Apache Kafka is a popular distributed streaming platform which acts as a messaging queue or an enterprise messaging system. This book is a comprehensive guide on designing and architecting enterprise-grade streaming applications using Apache Kafka and other Big Data tools. Once you grasp the basics, we will take you through the more advance concepts in Apache Kafka such as capacity planning and security.

Aug 2017 9h 16m

Apache Kafka Quick Start Guide

Apache Kafka Quick Start Guide

Learn how to use Apache Kafka for efficient processing of distributed applications. This book focuses on programming rather than configuration management of Kafka clusters or Dev Ops. Each chapter focuses on a practical aspect and tries to avoid the tedious theoretical sections. By the end of this book, you will be familiar with solving everyday problems in fast data and processing pipelines.

Dec 2018 6h 12m

Data Lake for Enterprises

Data Lake for Enterprises

The term 'Data Lake' has recently emerged as a prominent term in the big data industry. Data scientists can make use of it in deriving meaningful insights which can be used by businesses to redefine or transform the way they operate. Lambda architecture is also emerging as one of the very eminent patterns in the big data landscape, as it helps to derive useful information from not only the historical data but also correlates real-time data to enable business for taking critical decisions. This book tries to bring these two important aspects into one, namely data lake and lambda architecture.

May 2017 19h 52m

Apache Spark 2.x for Java Developers

Apache Spark 2.x for Java Developers

Apache Spark is the buzzword in the big data industry right now, especially with the increasing need for real-time streaming and data processing. While Spark is built on Scala, the Spark Java API exposes all the Spark features available in the Scala version for Java developers. This book will show you how you can implement various functionalities of the Apache Spark framework in Java, without stepping out of your comfort zone.

Jul 2017 11h 40m

Microservices Deployment Cookbook

Microservices Deployment Cookbook

Jan 2017 12h 36m

Modern Big Data Processing with Hadoop

Modern Big Data Processing with Hadoop

This book presents unique techniques to conquer different Big Data processing and analytics challenges using Hadoop. Practical examples are provided to boost your understanding of Big Data concepts and their implementation. By the end of the book, you will have all the knowledge and skills you need to become a true Big Data expert.

Mar 2018 13h 8m

Mastering Hadoop 3

Mastering Hadoop 3

This is a comprehensive guide to understand advanced concepts of Hadoop ecosystem. You will learn how Hadoop works internally, and build solutions to some of real world use cases. Finally, you will have a solid understanding of how components in the Hadoop ecosystem are effectively integrated to implement a fast and reliable Big Data pipeline

Feb 2019 18h 8m

Apache Spark Quick Start Guide

Apache Spark Quick Start Guide

Apache Spark is a ?exible in-memory framework that allows processing of both batch and real-time data. Its unified engine has made it quite popular for big data use cases. This book will help you to quickly get started with Apache Spark 2.0 and write efficient big data applications for a variety of use cases.

Learning Apache Apex

Learning Apache Apex

Applications that use and evaluate real-time streams need to take the features of the underlying processing engine into account. This is the first book about Apache Apex, teaching readers how to include the real-time streaming engine Apex in a functioning application, and which parts to add to make it performant and usable.

Nov 2017 9h 40m

Personalised recommendations for you

Based on your interests and search pattern

Mathematics of Machine Learning

Mathematics of Machine Learning

Deepen your theoretical knowledge and enhance your ability to solve complex machine learning problems with structured guidance. Gain the confidence to engage with advanced ML literature and tailor algorithms to meet your project requirements.

May 2025 24h 20m

Generative AI with Python and PyTorch

Generative AI with Python and PyTorch

Learn how to create images and text using VAEs, GANs, LSTMs, and transformers. Implement applications in natural language processing and computer vision through practical tutorials.

Mar 2025 15h 0m

Practical Generative AI with ChatGPT

Practical Generative AI with ChatGPT

This book helps you unlock ChatGPT's potential to make your working life better. From prompt engineering to creating custom GPTs, you'll enhance your productivity, creativity, and efficiency with practical insights and advanced techniques.

Apr 2025 12h 52m

Generative AI with LangChain

Generative AI with LangChain

Gain a solid foundation in LangChain, agentic AI, and LangGraph, and learn to build production-ready systems with multi-agent architectures, advanced RAG pipelines, Tree of Thought reasoning, agent handoffs, and fine-grained error handling.

May 2025 15h 52m

Architecting Power BI Solutions in Microsoft Fabric

Architecting Power BI Solutions in Microsoft Fabric

Power BI provides several options to solve common data problems, and designing the correct solution for each scenario can be a daunting task. This book makes it easier by guiding you through designing optimal solutions using Power BI.

Apr 2025 14h 16m

Microsoft Identity and Access Administrator SC-300 Exam Guide

Microsoft Identity and Access Administrator SC-300 Exam Guide

This comprehensive guide covers key topics such as Microsoft Entra ID implementation, authentication and access management, external user management, and hybrid identity solutions, providing practical insights and techniques for SC-300 exam success.

Mar 2025 19h 48m

LLM Design Patterns

LLM Design Patterns

This book helps you gain practical skills to develop and deploy LLMs. You'll learn data prep, training, pruning, quantization, and evaluation, as well as explore RAG, advanced prompting, and optimization to build robust, scalable language models.

May 2025 17h 48m

Tableau Cookbook for Experienced Professionals

Tableau Cookbook for Experienced Professionals

Advance your Tableau knowledge beyond the basics, streamline dashboard performance, tackle advanced geospatial challenges, and unlock API potential while fortifying your corporate data infrastructure with proven best practices.

Apr 2025 12h 24m

Time Series Analysis with Spark

Time Series Analysis with Spark

This book offers a complete guide to time series analysis with Apache Spark and Databricks, covering essential concepts and advanced techniques including Generative AI to equip readers with skills for real-world challenges across industries.

Mar 2025 9h 56m

Hands-On Artificial Intelligence for IoT

Hands-On Artificial Intelligence for IoT

Transform IoT systems with the power of artificial intelligence using this hands-on guide. Dive into practical techniques and expert insights to innovate and optimize your IoT devices, making them smarter and more efficient.

May 2025 15h 44m