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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. The course also covers other components in the broader Confluent Platform such as Kafka Connect and Kafka Streams.
- How to build an application that can publish data to and subscribe to data from an Apache Kafka® cluster.
- The role of Kafka in the modern data distribution pipeline, discuss core Kafka architectural concepts and components.
- Review the Kafka developer APIs.
- Other components in the broader Confluent Platform, such as the Schema Registry, the REST Proxy, and KSQL.
Fundamentals of Apache Kafka
- The Streaming Platform
- The Commit Log & Log Structured Data Flow
- Data Elements, Topics, Segments and Partitions
- Log Replication & Log Compaction
- Kafka Clients – Producers, Consumers & Kafka Connect
- Producer Design, Serialization and Partitioning
- Consumer Groups
- Kafka’s Commit Log, High Concurrency and Storage
- Replicas for Reliability
- Partitions and Consumer Groups for Scalability
- Security Overview
Developing With Kafka
- Programmatically Accessing Kafka
- Writing a Producer in Java
- Using the REST API to Write a Producer
- Kafka’s Read Path
- Writing a Consumer in Java
- Using the REST API to Write a Consumer
More Advanced Kafka Development
- Message Size & Durability
- Enabling Exactly Once Semantics (EOS)
- Specifying Offsets
- Consumer Liveness & Rebalancing
- Manually Committing Offsets
- Partitioning Data
Schema Management In Kafka
- An Introduction to Avro and Data Serialization
- Avro Schemas and Schema Evolution
- Using the Schema Registry
Data Pipelines with Kafka Connect
- The Motivation for Kafka Connect
- Types of Connectors
- Kafka Connect Implementation
- Standalone and Distributed Modes
- Configuring the Connectors
Stream Processing with Kafka Streams
- An Introduction to the Kafka Streams API
- Kafka Streams Concepts
- Creating a Kafka Streams Application
- Kafka Streams by Example
- Managing Kafka Streams Processing
Stream Processing with Confluent KSQL
- KSQL for Apache Kafka
- Writing KSQL Queries
Event Driven Architecture
- Event Driven Platform
- From CQRS to Event Sourcing
- Confluent Cloud Overview
- Using the Cloud CLI and Web UI
- Configuring Kafka Clients
This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Some knowledge of SQL is assumed, as is basic Linux command-line familiarity. Prior knowledge of Apache Hadoop is not required.
Join Confluent Developer Skills For Building Apache Kafka Training and gain the knowledge and skills needed to land an entry-level job in Co. A Path to In-Demand Jobs.
When you complete all of the courses in the program, you’ll earn a Certificate to share with your professional network as well as unlock access to career support resources to help you kickstart your new career. Many Professional Certificates have hiring partners that recognize the Professional Certificate credential and others can help prepare you for a certification exam. You can find more information on individual Professional Certificate pages where it applies.
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- Post-workshop support by the Coaches
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