Stream Processing with Kafka Streams Training Course

Confluent Apache Kafka is a distributed event streaming platform engineered for high-throughput, fault-tolerant data pipelines and real-time analytics.

This instructor-led, live training (available online or onsite) is tailored for intermediate-level system administrators and DevOps professionals seeking to install, configure, monitor, and troubleshoot Confluent Apache Kafka clusters.

By the conclusion of this training, participants will be able to:

• Comprehend the components and architecture of Confluent Kafka.
• Deploy and manage Kafka brokers, Zookeeper quorums, and essential services.
• Configure advanced features such as security, replication, and performance tuning.
• Utilize management tools to monitor and maintain Kafka clusters.

Format of the Course also allows for the evaluation of participants.

• Interactive lecture and discussion.
• Extensive exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

This instructor-led live training in France (online or on-site) targets developers who wish to integrate Apache Kafka with existing databases and applications for processing, analysis, and more.

By the end of this training, participants will be able to:

• Use Kafka Connect to ingest large amounts of data from a database into Kafka topics.
• Ingest log data generated by an application servers into Kafka topics.
• Make any collected data available for stream processing.
• Export data from Kafka topics into secondary systems for storage and analysis.

Confluent Apache Kafka is an enterprise-grade distributed event streaming platform built on Apache Kafka. It supports high-throughput, fault-tolerant data pipelines and real-time streaming applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers and administrators who wish to deploy, configure, and optimize Confluent Kafka clusters in production environments.

By the end of this training, participants will be able to:

• Install, configure, and operate Confluent Kafka clusters with multiple brokers.
• Design high-availability setups using Zookeeper and replication techniques.
• Tune performance, monitor metrics, and apply recovery strategies.
• Secure, scale, and integrate Kafka with enterprise environments.

Format of the Course also allows for the evaluation of participants.

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led live training, available online or onsite, is designed for engineers who want to leverage Confluent (a Kafka distribution) to build and manage a real-time data processing platform for their applications.

Upon completing this training, participants will be able to:

• Install and configure the Confluent Platform.
• Utilize Confluent’s management tools and services to simplify Kafka operations.
• Store and process incoming stream data.
• Optimize and manage Kafka clusters.
• Secure data streams.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• This course is based on the open-source version of Confluent: Confluent Open Source.
• To request customized training for this course, please contact us to arrange.

Apache Kafka stands as a distributed streaming platform and has become the industry standard for building data pipelines. It addresses a wide array of data processing use cases, serving effectively as a message queue, a distributed log, or a stream processor.

The course begins by exploring the theoretical foundations of data pipelines before delving into the core concepts of Kafka. Participants will also gain insight into essential components such as Kafka Streams and Kafka Connect.

In this instructor-led, live training in France (onsite or remote), participants will learn how to set up and integrate various Stream Processing frameworks with existing big data storage systems, software applications, and microservices.

By the end of this training, participants will be able to:

• Install and configure different Stream Processing frameworks, such as Spark Streaming and Kafka Streaming.
• Understand and select the most appropriate framework for specific tasks.
• Process data continuously, concurrently, and record-by-record.
• Integrate Stream Processing solutions with existing databases, data warehouses, data lakes, and more.
• Integrate the most suitable stream processing library with enterprise applications and microservices.

Designed for enterprise architects, developers, and system administrators, this course equips learners with the knowledge to understand and leverage high-throughput distributed messaging systems. While it caters to a broad audience, the content can be customized to address specific needs, such as a focus solely on system administration.

This instructor-led, live training in France (online or onsite) is aimed at beginner-level, intermediate-level, or advanced-level system administrators and operations engineers who wish to use Apache Kafka to deploy, secure, monitor, and troubleshoot Kafka clusters.

By the end of this training, participants will be able to explain Kafka architecture and KRaft mode, operate and secure Kafka clusters, monitor performance and reliability, and resolve common production issues.

This instructor-led, live training in France (online or onsite) is designed for intermediate-level developers who want to create big data applications using Apache Kafka.

Upon completing this training, participants will be able to:

• Create Kafka producers and consumers to send and receive data.
• Connect Kafka with external systems via Kafka Connect.
• Build streaming applications using Kafka Streams and ksqlDB.
• Link Kafka client applications to Confluent Cloud for cloud-based Kafka deployments.
• Acquire hands-on experience through practical exercises and real-world scenarios.

This instructor-led live training in France (online or onsite) is targeted at data engineers, data scientists, and programmers who wish to apply Apache Kafka features for data streaming using Python.

By the end of this training, participants will be able to use Apache Kafka to monitor and manage conditions in continuous data streams via Python programming.

This instructor-led, live training in France (online or onsite) is aimed at intermediate-level Java developers who wish to integrate Apache Kafka into their applications for reliable, scalable, and high-throughput messaging.

By the end of this training, participants will be able to:

• Understand the architecture and core components of Kafka.
• Set up and configure a Kafka cluster.
• Produce and consume messages using Java.
• Implement Kafka Streams for real-time data processing.
• Ensure fault tolerance and scalability in Kafka applications.

This instructor-led, live training in France (online or onsite) is aimed at intermediate-level system administrators who wish to harness Kafka's message queuing features effectively.

By the end of this training, participants will be able to:

• Grasp Kafka's message queuing capabilities and architecture.
• Configure Kafka topics for message queuing scenarios.
• Produce and consume messages using Kafka.
• Monitor and manage Kafka as a message queue.

This instructor-led, live training in France (online or onsite) is aimed at software testers who wish to implement network security measures into an Apache Kafka application.

By the end of this training, participants will be able to:

• Deploy Apache Kafka onto a cloud based server.
• Implement SSL encryption to prevent attacks.
• Add ACL authentication to track and control user access.
• Ensure credible clients have access to Kafka clusters with SSL and SASL authentication.

This instructor-led, live training in France (online or onsite) is aimed at intermediate-level developers who wish to learn the fundamentals of Kafka and integrate it with Spring Boot.

By the end of this training, participants will be able to:

• Understand Kafka and its architecture.
• Learn how to install, configure, and set up a basic Kafka environment.
• Integrate Kafka with Spring Boot.

This instructor-led, live training in France (online or onsite) is designed for beginner to intermediate system administrators seeking to learn how to effectively manage Kafka topics for efficient data streaming and processing.

By the end of this training, participants will be able to:

• Understand the fundamentals and architecture of Kafka topics.
• Create, configure, and manage Kafka topics.
• Monitor Kafka topics for health, performance, and availability.
• Implement security measures for Kafka topics.