Mastering Apache Storm is your step-by-step guide to mastering real-time data streaming with this robust framework. You'll learn how to process big data efficiently and integrate Apache Storm with popular technologies like Kafka, HBase, and Redis to maximize its potential. This book walks you through from basic concepts to advanced implementations of Apache Storm in real-world scenarios. What this Book will help me do Understand the core features and operation of Apache Storm for real-time data streaming. Integrate Apache Storm with other Big Data frameworks like Kafka, HBase, Redis, and Hadoop. Effectively deploy and manage multi-node Apache Storm clusters in real-world environments. Monitor and analyze your data streams and system health effectively using built-in and external tools. Learn to implement fault-tolerant, scalable, and distributed stream processing applications in Apache Storm. Author(s) None Jain is an experienced software developer and technical instructor specializing in distributed systems and real-time data processing. With years of experience working with Apache Storm and related technologies, their teachings focus on practical, hands-on learning to equip readers with actionable skills. Who is it for? This book is ideal for Java developers aspiring to build expertise in real-time data streaming and distributed processing applications using Apache Storm. Beginners can start with the fundamentals provided, while those with prior knowledge can delve into intermediate and advanced implementations.

Weathering the Storm explores the factors leading up to the recent global financial and economic crisis, how the crisis unfolded, and the response of European and national authorities. The book describes the rationale behind the measures undertaken to mitigate the consequences of the recession and to ensure that a similar situation does not happen again in the future. In the wake of the crisis, various major changes continue to significantly affect the life and social organization of Europeans. For instance, a new ESM with a size financially comparable to that of the IMF was created; similarly, the reforms in economic governance imply much more intrusive participation of European countries in each other's macroeconomic policies. Moreover, the organization, regulation, and supervision of the financial sector have been drastically revamped. The decisions taken by European and national authorities affect the daily lives of hundreds of millions of European citizens and countless more around the globe. An insightful read for anyone interested in understanding the topic and its effect on their lives, the book primarily addresses undergraduate students in their final year and graduate students in fields such as economics, finance, and political science. The main messages are explained through examples and charts.

Weathering the Storm explores the factors leading up to the recent global financial and economic crisis, how the crisis unfolded, and the response of European and national authorities. The book describes the rationale behind the measures undertaken to mitigate the consequences of the recession and to ensure that a similar situation does not happen again in the future. In the wake of the crisis, various major changes continue to significantly affect the life and social organization of Europeans. For instance, a new ESM with a size financially comparable to that of the IMF was created; similarly, the reforms in economic governance imply much more intrusive participation of European countries in each other's macroeconomic policies. Moreover, the organization, regulation, and supervision of the financial sector have been drastically revamped. The decisions taken by European and national authorities affect the daily lives of hundreds of millions of European citizens and countless more around the globe. An insightful read for anyone interested in understanding the topic and its effect on their lives, the book primarily addresses undergraduate students in their final year and graduate students in fields such as economics, finance, and political science. The main messages are explained through examples and charts.

Storm Applied is a practical guide to using Apache Storm for the real-world tasks associated with processing and analyzing real-time data streams. This immediately useful book starts by building a solid foundation of Storm essentials so that you learn how to think about designing Storm solutions the right way from day one. But it quickly dives into real-world case studies that will bring the novice up to speed with productionizing Storm. About the Technology It's hard to make sense out of data when it's coming at you fast. Like Hadoop, Storm processes large amounts of data but it does it reliably and in real time, guaranteeing that every message will be processed. Storm allows you to scale with your data as it grows, making it an excellent platform to solve your big data problems. About the Book Storm Applied is an example-driven guide to processing and analyzing real-time data streams. This immediately useful book starts by teaching you how to design Storm solutions the right way. Then, it quickly dives into real-world case studies that show you how to scale a high-throughput stream processor, ensure smooth operation within a production cluster, and more. Along the way, you'll learn to use Trident for stateful stream processing, along with other tools from the Storm ecosystem. What's Inside Mapping real problems to Storm components Performance tuning and scaling Practical troubleshooting and debugging Exactly-once processing with Trident About the Reader This book moves through the basics quickly. While prior experience with Storm is not assumed, some experience with big data and real-time systems is helpful. About the Authors Sean Allen, Matthew Jankowski, and Peter Pathirana lead the development team for a high-volume, search-intensive commercial web application at TheLadders. Quotes Will no doubt become the definitive practitioner’s guide for Storm users. - From the Foreword by Andrew Montalenti The book’s practical approach to Storm will save you a lot of hassle and a lot of time. - Tanguy Leroux, Elasticsearch Great introduction to distributed computing with lots of real-world examples. - Shay Elkin, Tangent Logic Go beyond the MapReduce way of thinking to solve big data problems. - Muthusamy Manigandan, OzoneMedia

"Storm Blueprints: Patterns for Distributed Real-time Computation" takes you on a hands-on journey into understanding and implementing distributed real-time processing with Apache Storm. Through real-world examples and projects, you'll gain a sound understanding of the fundamentals and learn to design systems capable of resilient, scalable, and fast computation. What this Book will help me do Understand the essentials of Apache Storm and its architecture. Learn to deploy and manage Storm in different modes, including distributed clusters. Discover design patterns for real-time data flow in distributed systems. Master the implementation of fault tolerance and continuous availability in processing. Analyze system performance insights through practical integrations and use cases. Author(s) The author(s) of 'Storm Blueprints' bring extensive experience in distributed systems engineering and real-time computations. Their passion for sharing knowledge is evident in this approachable yet comprehensive book. With years of practical experience, they offer insights and proven techniques to empower readers to build practical distributed systems. Who is it for? This book is designed for software engineers and developers working on data pipelines and real-time processing systems. Beginners to Storm will find it an excellent introduction, while those with experience will appreciate the advanced design patterns and use cases. If you aim to leverage Storm effectively in distributed architectures, this guide is tailored for you.

Even as big data is turning the world upside down, the next phase of the revolution is already taking shape: real-time data analysis. This hands-on guide introduces you to Storm, a distributed, JVM-based system for processing streaming data. Through simple tutorials, sample Java code, and a complete real-world scenario, you’ll learn how to build fast, fault-tolerant solutions that process results as soon as the data arrives. Discover how easy it is to set up Storm clusters for solving various problems, including continuous data computation, distributed remote procedure calls, and data stream processing. Learn how to program Storm components: spouts for data input and bolts for data transformation Discover how data is exchanged between spouts and bolts in a Storm topology Make spouts fault-tolerant with several commonly used design strategies Explore bolts—their life cycle, strategies for design, and ways to implement them Scale your solution by defining each component’s level of parallelism Study a real-time web analytics system built with Node.js, a Redis server, and a Storm topology Write spouts and bolts with non-JVM languages such as Python, Ruby, and Javascript