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- Integrate Storm with other Big Data technologies like Hadoop, HBase, and Apache Kafka
- Explore log processing and machine learning using Storm
- Step-by-step and easy-to-understand guide to effortlessly create applications with Storm
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What you will learn from this book
- Learn the core concepts of Apache Storm and real time processing
- Deploy Storm in local mode and clustered mode
- Design and develop Storm topologies that solve real-world problems
- Read data from external sources like Apache Kafka, HBase, and MongoDB for processing in Storm
- Create transactional topologies to support the message processing semantics
- Monitor the health of a Storm cluster
Ever increasing amounts of data are being generated from different sources like social networking sites, clickstreams, sensors, and so on. The need for a platform that can process these data streams in real time has perpetually perplexed data analysts. Over the past few years, Apache Storm has emerged as the de-facto standard for creating real-time stream processing applications. It is to real-time processing as Hadoop is to batch processing. Storm‘s features like scalability, fault tolerance, and guaranteed message processing are what make it a favorite. Storm also has a vibrant and growing community of users and although Storm is brilliantly designed, getting the most from it requires expert guidance.
Starting with the very basics of Storm, you will learn how to set up Storm on a single machine and move on to deploying Storm on your cluster. After you've learned that, you will discover how to monitor your Storm cluster.
Apache Kafka is perhaps the most popular messaging system, and you will understand how the amazing Kafka can be integrated with Storm using the Kafka spout.
You will proceed to explore the Trident abstraction tool with Storm to perform stateful stream processing guaranteeing single message processing in every topology.
Hadoop is one of Apache's most successful tools and is considered one of the best batch processing tools available. You will learn how to integrate Hadoop with Storm, going through its installation, understanding the advantages of using Hadoop, and implementing examples based on it.
Next, you will learn how to integrate Storm with other well known Big Data technologies like HBase, Redix, JMX, and MongoDB to realize the full potential of Storm.
Finally you will perform in-depth case studies on Apache log processing and Machine Learning with a focus on Storm, and through these case studies you will discover Storm's realm of possibilities.
This is an easy-to-follow guide full of examples and real world applications for gaining hands-on experience of Apache Storm. This book covers the basics comprehensively and also delves into advanced concepts of application development with Storm.
Who this book is for
If you are a Java developer who wants to enter into the world of real-time stream processing applications using Apache Storm then this book is for you. No previous experience in Storm is required as this book starts from the basics. After finishing this book you will be able to develop not-so-complex Storm applications.