Found inside – Page iThis book is your authoritative hands-on practical guide for increasing your enterprise Java and cloud application productivity while decreasing development time. This book takes an holistic view of the things you need to be cognizant of in order to pull this off. Found inside – Page 115Kafka Connect allows you to read data from different sources and publish to Kafka (source) and also read from Kafka and publish to a destination (sink). Found inside – Page 64Kafka Connect sink connector for IBM MQ You can use the IBM MQ sink connector ... In this section, we build and configure the connectors that are running on ... Found insideWith this hands-on guide, you’ll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. By using the techniques in this book, you’ll be able to write domain-specific builds that support every other line of code your team creates. Found insideThis book includes real-world cases such as Internet of Things devices that send continuous streams to Phoenix, and the book explains how key features such as joins, indexes, transactions, and functions help you understand the simple, ... Found insideIf you’re an application architect, developer, or production engineer new to Apache Kafka, this practical guide shows you how to use this open source streaming platform to handle real-time data feeds. In this book, you will be introduced to Spring Cloud and will master its features from the application developer's point of view. This book begins by introducing you to microservices for Spring and the available feature set in Spring Cloud. Found insideThis IBM RedpaperTM publication details the various aspects of security in IBM Spectrum ScaleTM, including the following items: Security of data in transit Security of data at rest Authentication Authorization Hadoop security Immutability ... This book presents unique techniques to conquer different Big Data processing and analytics challenges using Hadoop. Even though most engineers don’t think much about them, this short book shows you why logs are worthy of your attention. Design and administer fast, reliable enterprise messaging systems with Apache Kafka About This Book Build efficient real-time streaming applications in Apache Kafka to process data streams of data Master the core Kafka APIs to set up Apache ... Found inside – Page iThis book provides the right combination of architecture, design, and implementation information to create analytical systems that go beyond the basics of classification, clustering, and recommendation. Found insideWith this practical book, you’ll learn how to build big data infrastructure both on-premises and in the cloud and successfully architect a modern data platform. Filled with real-world use cases and scenarios, this book probes Kafka's most common use cases, ranging from simple logging through managing streaming data systems for message routing, analytics, and more. Found insideIn this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. This book tries to bring these two important aspects — data lake and lambda architecture—together. This book is divided into three main sections. Many patterns are also backed by concrete code examples. This book is ideal for developers already familiar with basic Kubernetes concepts who want to learn common cloud native patterns. These are illustrated through a series of case studies in cloud computing, telecommunications, big data analytics, and smart cities. This is a comprehensive guide to understand advanced concepts of Hadoop ecosystem. As in the companion book, Kafka's Soup, each piece is illustrated by a famous artist, including da Vinci, Hokusai and Rembrandt. With this practical book, you’ll explore the fundamental concepts of parallel stream processing and discover how this technology differs from traditional batch data processing. Found insideThe book is about Kubernetes, a container cluster manager. The book discusses all aspects of using Kubernetes in applications. Found insideThe sink process reads the event streams from the event broker and inserts ... like Kafka Connect allows you to specify sinks with simple configurations and ... Found insideThis can be useful when an adapter has no corresponding connector, ... Thus, a Kafka connector or adapter configured for JSON format (for example) exchanges ... Found inside – Page 585... we propose using Kafka Connect. The main motivation for proposing this framework is the fact that it provides out-of-the-box features like configuration ... This book provides a comprehensive understanding of microservices architectural principles and how to use microservices in real-world scenarios. The book's "recipe" layout lets readers quickly learn and implement different techniques. All of the code examples presented in the book, along with their related data sets, are available on the companion website. Found inside – Page 284One straightforward approach is to look for a Kafka HBase sink connector that allows you to do this many-to-many configuration and use Kafka Connect. A collection of hands-on lessons based upon the authors' considerable experience in enterprise integration, the 65 patterns included with this guide show how to use message-oriented middleware to connect enterprise applications. Found insideThis book will show you how to use Kafka efficiently, and contains practical solutions to the common problems that developers and administrators usually face while working with it. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it. Found inside – Page 268Kafka Connect running in embedded mode To run in embedded mode, you'll need to set the ksql.connect.worker.config property in the ksqlDB server ... With this cookbook, you’ll learn how to: Efficiently build, deploy, and manage modern serverless workloads Apply Knative in real enterprise scenarios, including advanced eventing Monitor your Knative serverless applications effectively ... With the Kafka Streams API, you filter and transform data streams with just Kafka and your application. About the Book Kafka Streams in Action teaches you to implement stream processing within the Kafka platform. Found inside – Page 515In the above connector configuration, we have define the kafka.connect. ... name ignite- connector-sink.properties into the $KAFKA_HOME/myconfig directory. The goal is to get you designing and building applications. And by the conclusion of this book, you will be a confident practitioner and a Kafka evangelist within your organisation - wielding the knowledge necessary to teach others. It can be used for many purposes such as GUIs, robotics, music, and more, and is central to many concurrent systems. This book will be your guide to getting started with Reactive programming . Found insideWith this practical guide, you'll learn how to conduct analytics on data where it lives, whether it's Hive, Cassandra, a relational database, or a proprietary data store. Found insideWithin the Kafka ecosystem is Kafka Connect, which is basically a consumer ... the final Connect configuration looks like this: name=dl4j-eventsw-file-sink ... 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