Apache Kafka, start to finish.Apache Kafka in Action: From basics to production guides you through the concepts and skills you’ll need to deploy and administer Kafka for data pipelines, event-driven applications, and other systems that process data streams from multiple sources. Authors Anatoly Zelenin and Alexander Kropp have spent years using Kafka in real-world production environments. In this guide, they reveal their h...

In 25 concise steps, you will learn the basics of blockchain technology. No mathematical formulas, program code, or computer science jargon are used. No previous knowledge in computer science, mathematics, programming, or cryptography is required. Terminology is explained through pictures, analogies, and metaphors.This book bridges the gap that exists between purely technical books about the blockchain and purely business-focused books. It does so by explaining both the technical c...

Every enterprise application creates data, whether it consists of log messages, metrics, user activity, or outgoing messages. Moving all this data is just as important as the data itself. With this updated edition, application architects, developers, and production engineers new to the Kafka streaming platform will learn how to handle data in motion. Additional chapters cover Kafka's AdminClient API, transactions, new security features, and tooling changes.Engineers from Confluent ...

With the immense cost savings and scalability the cloud provides, the rationale for building cloud native applications is no longer in question. The real issue is how. With this practical guide, developers will learn about the most commonly used design patterns for building cloud native applications using APIs, data, events, and streams in both greenfield and brownfield development.You'll learn how to incrementally design, develop, and deploy large and effective cloud native applic...

Data projects are an intrinsic part of an organization’s technical ecosystem, but data engineers in many companies continue to work on problems that others have already solved. This hands-on guide shows you how to provide valuable data by focusing on various aspects of data engineering, including data ingestion, data quality, idempotency, and more.Author Bartosz Konieczny guides you through the process of building reliable end-to-end data engineering projects, from data ingestion t...

Use your programming skills to create and optimize high-frequency trading systems in no time with Java, C++, and PythonKey FeaturesLearn how to build high-frequency trading systems with ultra-low latencyUnderstand the critical components of a trading systemOptimize your systems with high-level programming techniquesBook DescriptionThe world of trading markets is complex, but it can be made easier with technology. Sure, you kn...

Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide shows data engineers how to use these tools to build highly scalable stream processing applications for moving, enriching, and transforming large amounts of data in real time.Mitch Seymour, data services engineer at Mailchimp, explains important stream processing concepts against a backd...

More and more data-driven companies are looking to adopt stream processing and streaming analytics. With this concise ebook, you’ll learn best practices for designing a reliable architecture that supports this emerging big-data paradigm.Authors Ted Dunning and Ellen Friedman (Real World Hadoop) help you explore some of the best technologies to handle stream processing and analytics, with a focus on the upstream queuing or message-passing layer. To illustrate the effectiveness of th...

Design and administer fast, reliable enterprise messaging systems with Apache KafkaKey Features\[\*\]Build efficient real-time streaming applications in Apache Kafka to process data streams of data\[\*\]Master the core Kafka APIs to set up Apache Kafka clusters and start writing message producers and consumers\[\*\]A comprehensive guide to help you get a solid grasp of the Apache Kafka concepts in Apache Kafka with pracitcalpractical examples

Real-Time Streaming with Apache Kafka, Spark, and Storm is a book that provides an overview of the real-time streaming concepts and architectures of Apache Kafka, Storm, and Spark. The readers will learn how to build systems that can process data streams in real time using these technologies. They will be able to process a large amount of real-time data and perform analytics or generate insights as a result of this.The architecture of Kafka and its various components are described in detai...

Implement modern design patterns that leverage domain-driven data, to achieve resiliency and scalability for data-dependent applicationsKey FeaturesLearn the tenets of event-driven architecture, coupled with reliable design patterns to enhance your knowledge of distributed systems and build a foundation for professional growthUnderstand how to translate business goals and drivers into a domain model that can be used to develop an app that enables those ...

"Mastering ClickHouse: High-Performance Data Analytics for Modern Applications" serves as an indispensable guide for data professionals seeking to leverage the power of ClickHouse, the acclaimed open-source columnar database management system designed for online analytical processing (OLAP). This comprehensive resource delves into all aspects of ClickHouse, from its foundational architecture to advanced integration techniques, enabling readers to understand and exploit its full potential f...