Building Data Pipelines with Apache Kafka 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 designed for intermediate-level system administrators and DevOps professionals who aim to install, configure, monitor, and troubleshoot Confluent Apache Kafka clusters.

Upon completion of this training, participants will be able to:

• Gain a comprehensive understanding of the components and architecture of Confluent Kafka.
• Deploy and manage Kafka brokers, Zookeeper quorums, and essential services.
• Configure advanced features, including security protocols, replication strategies, and performance tuning.
• Utilize management tools to effectively monitor and maintain Kafka clusters.

Course Format

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

Course Customization Options

• To arrange customized training for this course, please contact us to discuss your specific requirements.

This instructor-led live training in Norway (online or onsite) is designed for developers who want 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 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

• 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 on-site, is designed for engineers looking to leverage Confluent—a distribution of Kafka—to create and oversee real-time data processing platforms 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 practical practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

In this instructor-led, live training in Norway (onsite or remotely), participants will learn how to set up and integrate various Stream Processing frameworks with existing big data storage systems, along with related 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 on a record-by-record basis.
• Integrate Stream Processing solutions with existing databases, data warehouses, data lakes, etc.
• Integrate the most suitable stream processing library with enterprise applications and microservices.

This course is designed for enterprise architects, developers, system administrators, and anyone seeking to understand and utilize high-throughput distributed messaging systems. Should you have specific requirements (such as focusing solely on system administration), the course content can be customized to better fit your needs.

This instructor-led, live training in Norway (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 Norway (online or onsite) is aimed at intermediate-level developers who wish to develop big data applications with Apache Kafka.

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

• Develop Kafka producers and consumers to send and read data from Kafka.
• Integrate Kafka with external systems using Kafka Connect.
• Write streaming applications with Kafka Streams & ksqlDB.
• Integrate a Kafka client application with Confluent Cloud for cloud-based Kafka deployments.
• Gain practical experience through hands-on exercises and real-world use cases.

This instructor-led, live training in Norway (online or onsite) is aimed at data engineers, data scientists, and programmers who wish to use Apache Kafka features in data streaming with Python.

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

This instructor-led, live training in Norway (online or onsite) targets 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 Norway (available online or onsite) is tailored for intermediate-level system administrators aiming to effectively utilize Kafka's message queuing features.

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

• Understand 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 Norway (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 Norway (online or onsite) is designed for developers with an intermediate skill level who want to master the fundamentals of Kafka and its integration with Spring Boot.

Upon completing this training, participants will be equipped to:

• Gain a solid understanding of Kafka and its underlying architecture.
• Acquire the skills to install, configure, and establish a fundamental Kafka environment.
• Successfully integrate Kafka with Spring Boot.

Kafka Streams is a client-side library designed for developing applications and microservices that exchange data with a Kafka messaging system. Historically, processing data between message producers and consumers in Apache Kafka has depended on tools like Apache Spark or Apache Storm. By utilizing the Kafka Streams API within an application, data processing occurs directly inside Kafka, eliminating the need to route data to an external cluster.

During this instructor-led live training, participants will learn how to incorporate Kafka Streams into sample Java applications that transfer data to and from Apache Kafka for stream processing.

Upon completion of this training, participants will be capable of:

• Gaining an understanding of Kafka Streams features and its advantages compared to other stream processing frameworks
• Processing stream data directly within a Kafka cluster
• Developing a Java or Scala application or microservice that integrates with Kafka and Kafka Streams
• Writing concise code to transform input Kafka topics into output Kafka topics
• Building, packaging, and deploying the application

Audience

• Developers

Format of the course

• A mix of lectures, discussions, exercises, and extensive hands-on practice

Notes

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

This instructor-led live training in Norway (online or onsite) is designed for system administrators at beginner to intermediate levels who wish 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 Kafka topic fundamentals and architecture.
• Create, configure, and manage Kafka topics.
• Monitor Kafka topics for health, performance, and availability.
• Implement security measures for Kafka topics.