Master the intricacies of Apache Storm and develop real-time stream processing applications with ease About This Book Exploit the various real-time processing. Mastering Apache Storm: Real-time big data streaming using Kafka, Hbase and Redis Mastering Apache Storm and millions of other books are available for. Editorial Reviews. About the Author. Ankit Jain. Ankit Jain holds a bachelor's degree in Want to know our Editors' picks for the best books of the month? Browse.
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Looking for the best books for understanding Apache Storm? We have short listed some of the recommended books for you. Also you can visit the Apache Storm Documentation to see other advanced usages like Which is the best book for learning Apache Storm?. Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for.
Pieces of the puzzle for supporting reliability. A conceptual solution with retry characteristics. Mapping the solution to Storm with retry characteristics. Basic implementation of the bolts 4. The AuthorizeCreditCard implementation. The ProcessedOrderNotification implementation. Guaranteed message processing 4. Tuple states: Anchoring, acking, and failing tuples in our bolts. Replay semantics 4. Degrees of reliability in Storm. Examining exactly once processing in a Storm topology.
Examining the reliability guarantees in our topology. Moving from local to remote topologies 5. The Storm cluster 5. The anatomy of a worker node. Presenting a worker node within the context of the credit card authorization topology.
Fail-fast philosophy for fault tolerance within a Storm cluster. Installing a Storm cluster 5. Setting up a Zookeeper cluster.
Installing the required Storm dependencies to master and worker nodes. Installing Storm to master and worker nodes. Configuring the master and worker nodes via storm. Launching Nimbus and Supervisors under supervision. Getting your topology to run on a Storm cluster 5.
Revisiting how to put together the topology components. Running topologies in local mode. Running topologies on a remote Storm cluster.
Deploying a topology to a remote Storm cluster. The Storm UI and its role in the Storm cluster 5. Storm UI: Tuning in Storm 6.
Daily Deals! Mapping the solution to Storm concepts. Initial implementation 6.
I wanna go fast 6. The Storm UI: Establishing a baseline set of performance numbers. Simulating latency in your topology. Extrinsic and intrinsic reasons for latency. Setting up a metrics consumer.
Creating a custom SuccessRateMetric. Creating a custom MultiSuccessRateMetric.
Resource contention 7. Changing the number of worker processes running on a worker node 7. Changing the amount of memory allocated to worker processes JVMs 7. Contention for worker processes in a Storm cluster 7.
Memory contention within a worker process JVM 7. Memory contention on a worker node 7. Worker node CPU contention 7. Storm internals 8. The commit count topology revisited 8. Reviewing the topology design. Thinking of the topology as running on a remote Storm cluster.
As we all know, Kafka has emerged as a next-generation event streaming system to connect our distributed systems through fault-tolerant and scalable event-driven architectures.
Also, Kafka is being used by numerous large enterprises for a variety of use cases. So, it is the peak time to learn Kafka well. Here, is the list of Top 5 Apache Kafka Books given by Kafka experts that guides you completely and increase your understanding for Kafka: They explain how to deploy production Kafka clusters , write reliable event-driven microservices, and build scalable stream-processing applications with this platform.
It contains detailed examples as well.
However, even if you are new to Apache Kafka as the application architect, developer, or production engineer, this practical guide shows you how to use this open source streaming platform to handle real-time data feeds. If you want to know more about Apache Kafka at a hands-on level, this Kafka book will be the right choice. Those who have software development experience but no prior exposure to Apache Kafka or similar technologies, they could be the key audience for this.
Also, Learning Apache Kafka is useful for enterprise application developers and big data enthusiasts who have worked with other publisher-subscriber -based systems but still want to explore Kafka as a futuristic solution. Also, you will get to know how Kafka is planned internally and what specifications make it more effective. Lastly, you will learn how Kafka works with other technologies such as Hadoop, Storm, and so on. Assumes readers have some experience with distributed systems.
No prior knowledge of Kafka or streaming applications required. If you already use streaming data and want to design an architecture for best results in a multiuser system, or if you are just starting to explore the value of streaming data, this Apache Kafka book should be helpful.
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. 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. This is our list of 7 Best Apache Kafka Books. Have you read any better Kafka books?
Please feel free to write down below in the comment section.