Confluent Developer Training
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This three-day course teaches developers how to build applications that can publish and subscribe to data from an Apache Kafka cluster. Students will learn Kafka concepts and components, how to use Kafka and Confluent APIs, and how to develop Kafka producers, consumers, and streams applications. The hands-on course covers using Kafka tools, writing producers and consumers, ingesting data with Kafka Connect, and more. It is designed for developers who need to interact with Kafka as a data source or destination.
Confluent Developer Training
- 1. ©2016-2017 Confluent, Inc. B5_608www.confluent.io/contact DEVELOPER TRAINING Confluent Developer Training: Building Kafka Solutions Course Objectives In this three-day hands-on course you will learn how to build an application that can publish data to, and subscribe to data from, an Apache KafkaTM cluster. You will learn the role of Kafka in the modern data distribution pipeline, discuss core Kafka architectural concepts and components, and review the Kafka developer APIs. As well as core Kafka, Kafka Connect, and Kafka Streams, the course also covers other components in the broader Confluent Platform, such as the Schema Registry and the REST Proxy. Hands-On Training Throughout the course, hands-on exercises reinforce the topics being discussed. Exercises include: »» Using Kafka’s command-line tools »» Writing Consumers and Producers »» Writing a multi-threaded Consumer »» Using the REST Proxy »» Storing Avro data in Kafka with the Schema Registry »» Ingesting data with Kafka Connect Who Should Attend? This course is designed for application developers, ETL (extract, transform, and load) developers, and data scientists who need to interact with Kafka clusters as a source of, or destination for, data. Course Duration This is a three-day training course. Course Prerequisites Attendees should be familiar with developing in Java (preferred) or Python. No prior knowledge of Kafka is required. Confluent offers public training courses and private, onsite events. Please visit http://confluent.io/training for the public course schedule. For inquiries about onsite events, email training-admin@confluent.io Course Contents The Motivation for Apache Kafka • Systems Complexity • Real-Time Processing is Becoming Prevalent • Kafka: A Stream Data Platform Kafka Fundamentals • An Overview of Kafka • Kafka Producers • Kafka Brokers • Kafka Consumers • Kafka’s Use of ZooKeeper • Kafka Efficiency Kafka’s Architecture • Kafka’s Log Files • Replicas for Reliability • Kafka’s Write Path • Kafka’s Read Path • Partitions and Consumer Groups for Scalability Developing With Kafka • Using Maven for Project Management • Programmatically Accessing Kafka • Writing a Producer in Java • Using the REST API to Write a Producer • Writing a Consumer in Java • Using the REST API to Write a Consumer More Advanced Kafka Development • Creating a Multi-Threaded Consumer • Specifying Offsets • Consumer Rebalancing • Manually Committing Offsets • Partitioning Data • Message Durability Schema Management in Kafka • An Introduction to Avro • Avro Schemas • Using the Schema Registry Kafka Connect for Data Movement • The Motivation for Kafka Connect • Kafka Connect Basics • Modes of Working: Standalone and Distributed • Configuring Distributed Mode • Tracking Offsets • Connector Configuration • Comparing Kafka Connect with Other Options Basic Kafka Installation and Administration • Kafka Installation • Hardware Considerations • Administering Kafka Kafka Streams • The Motivation for Kafka Streams • Kafka Streams Fundamentals • Investigating a Kafka Streams Application