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Confluent Advanced Skills for Optimizing Apache Kafka®

  /    /  Confluent Advanced Skills for Optimizing Apache Kafka®

Confluent Advanced Skills for Optimizing Apache Kafka®

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Confluent
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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 Kafka® 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. In addition to Kafka, Kafka Connect, and Kafka Streams, the course also covers other components in the broader Confluent Platform, such as the Schema Registry, the REST Proxy, and KSQL

 

 

Throughout the course, hands-on exercises reinforce the topics being discussed. Exercises include:

  • Using Kafka’s command-line tools
  • Writing Consumers and Producers
  • Using the REST Proxy
  • Storing Avro data in Kafka with the Schema Registry
  • Ingesting data with Kafka Connect
  • Data transformations with Kafka Streams and KSQL

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.

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
  • 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
  • Enabling Exactly Once Sematics (EOS)
  • 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
  • Administering Kafka
  • Log Management
  • Determining How Many Partitions to Specify
  • Kafka Security
Kafka Stream Processing
  • The Motivation for Kafka Streams
  • Kafka Streams Fundamentals
  • Investigating a Kafka Streams Application
  • KSQL for Apache Kafka
  • Writing KSQL Queries

Attendees should be familiar with developing in Java (preferred) or Python. No prior knowledge of Kafka is required.

Course Information

Duration

3 Days

Mode of Delivery

Virtual

Level

Advance

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