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Learning by doing
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Trainers with practical experience
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Classroom training
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Detailed course material
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Clear content description
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Tailormade content possible
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Training that proceeds
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Small groups
The course Apache Kafka Streaming Applications is designed for developers and data engineers seeking a deep understanding of Apache Kafka for building robust and scalable streaming applications. Apache Kafka has emerged as a leading distributed event streaming platform, and mastering its concepts and usage is essential for professionals working in the field of real-time data processing.
The course Apache Kafka Streaming Applications starts with a discussion of the architecture of Kafka and key concepts such as topics, partitions, producers, consumers, and brokers. The role of Kafka in building real-time data pipelines is also explained.
Next more details are explained about Kafka brokers, which are the main components of Kafka's distributed architecture. Topics such as broker configuration, replication, partition replica leaders and followers and fault tolerance are discussed. And the role of Zookeeper is also explained.
Then there is attention for the Kafka Streams API with which streaming applications for real-time data processing can be built. Concepts such as processor topology, stream processors, the Kafka Streams DSL (Domain Specific Language) and KStreams are covered. The difference between statefull and stateless operations is also explained.
The course Apache Kafka Streaming Application also covers the fundamental concepts for organizing and storing data in Kafka clusters. Topics are covered with the creation, replication and compaction of topics. And Kafka storage with partitions, storage formats, Kafka tables and tiered storage is discussed as well.
The security mechanisms for securing Kafka clusters and data streams are also on the course program. Topics include authentication and authorization, encryption with SSL, SASL (Simple Authentication and Security Layer), ZooKeeper security and applying request rate quotas.
Finally attention is paid to managing and scaling Kafka clusters with respect to high availability and performance. Tools and techniques for monitoring and managing Kafka clusters such as Kafka Manager and Prometheus are then discussed.
The course Apache Kafka Streaming Applications is intended for developers and data engineers who want to use Apache Kafka for real-time data processing.
To participate in this course, basic knowledge of messaging systems is beneficial for a good understanding.
The course has a hands-on character where theory with the use of demos is alternated with practice through exercises.
After successful completing of the course, attendants will receive a certificate of participation in the course Apache Kafka Streaming Applications.
Module 1 : Intro Apache Kafka |
Module 2 : Kafka Brokers |
Module 3 : Kafka Streams |
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What is Apache Kafka? Apache Kafka Architecture Kafka Components Producers, Consumers, and Brokers Topics and Partitions Kafka Streams Overview Event Streaming in Kafka Message Serialization Message DeSerialization Kafka Connect Kafka Installation |
What are Brokers? Producers Sourcing Data Configuring Broker List Consumers Unlocking Data Consumer Interaction Role of Zookeeper Broker Level Options Partition Replica Leaders Peeking into Kafka Cluster Maintenance Adding Brokers |
Kafka Streams API Stream Partition Data Record Application Instances Elastic Scaling Processor Topology Stream Processors Stateful Operations Stateless Operations KStreams Real Time Analytics |
Module 4 : Topics and Storage |
Module 5 : Kafka Security |
Module 6 : Management and Scalability |
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Topic Creation Options Replication Factors Partitions Partition Location Topic Compaction Kafka Storage Storage is Partitioned Storage Formats Kafka Tables Tiered Storage Data Movement |
Security Fundamentals Encryption with SSL SSL and SASL Authentication SSL Brokers and Clients SSL between Brokers Authorization in Kafka Access Control List Role Based Access Control Zookeeper Kerberos Setup Network Bandwidth Quota Request Rate Quotas |
Kafka Replication High Availability Scaling Kafka clusters Processing Parallelism Fault Tolerant Processing Elastic Processing Table Compaction Monitoring Kafka Kafka Application Logs Optimizing Kafka Data Skew |
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