Building Data Pipelines with Apache Kafka Training Course

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

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

Upon completing this training, participants will be capable of:

• Understanding the components and architecture of Confluent Kafka.
• Deploying and managing Kafka brokers, Zookeeper quorums, and essential services.
• Configuring advanced features such as security, replication, and performance tuning.
• Utilizing management tools to monitor and maintain Kafka clusters.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• 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 session in Turkey (online or onsite) is tailored for developers aiming to integrate Apache Kafka with current databases and applications for purposes such as data processing and analysis.

Upon completion of this training, participants will gain the ability to:

• Leverage Kafka Connect to import substantial volumes of data from databases into Kafka topics.
• Ingest log data produced by application servers into Kafka topics.
• Render collected data accessible for stream processing.
• Export data from Kafka topics into secondary systems for storage and further 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 onsite) targets engineers who aim to utilize Confluent, a distribution of Kafka, to construct and oversee a real-time data processing platform for their applications.

Upon completing this training, participants will be capable of:

• Installing and configuring the Confluent Platform.
• Leveraging Confluent's management tools and services to facilitate easier Kafka operations.
• Storing and processing incoming stream data.
• Optimizing and managing Kafka clusters.
• Securing data streams.

Course Format

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

Course Customization Options

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

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

Upon completion 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 suitable framework for specific requirements.
• Process data continuously, concurrently, and on a record-by-record basis.
• Integrate Stream Processing solutions with existing databases, data warehouses, data lakes, and other systems.
• Integrate the most appropriate stream processing library with enterprise applications and microservices.

This course is designed for enterprise architects, developers, and system administrators, as well as anyone interested in mastering high-throughput distributed messaging systems. Should you have specific needs (e.g., focusing exclusively on system administration), the curriculum can be customized to better fit your objectives.

This instructor-led, live training in Turkey (online or onsite) is aimed at beginner-level / intermediate-level / 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 Turkey (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 Turkey (online or onsite) is designed for data engineers, data scientists, and programmers who wish to utilize Apache Kafka features for 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 Turkey (online or onsite) is tailored for intermediate-level Java developers who want to integrate Apache Kafka into their applications to achieve reliable, scalable, and high-throughput messaging.

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

• Comprehend 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, conducted in Turkey (online or onsite), is designed for intermediate-level system administrators eager to master Kafka's message queuing capabilities.

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

• Comprehend Kafka's message queuing architecture and features.
• Configure Kafka topics to suit various message queuing scenarios.
• Execute message production and consumption using Kafka.
• Monitor and manage Kafka systems functioning as message queues.

This instructor-led, live training in Turkey (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 Turkey (online or onsite) is designed for intermediate-level developers who want to learn Kafka fundamentals 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.

Kafka Streams is a client-side library designed for building applications and microservices that exchange data with a Kafka messaging system. Traditionally, processing data between producers and consumers in Apache Kafka has depended on external tools like Apache Spark or Apache Storm. By integrating the Kafka Streams API directly into an application, data processing can occur within the Kafka environment itself, eliminating the need to route data to a separate cluster for handling.

Through this instructor-led live training, participants will learn how to integrate Kafka Streams into sample Java applications that send and receive data via Apache Kafka for stream processing.

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

• Understand the features and advantages of Kafka Streams compared to other stream processing frameworks
• Process stream data directly within a Kafka cluster
• Develop Java or Scala applications or microservices that integrate with Kafka and Kafka Streams
• Write concise code to transform input Kafka topics into output Kafka topics
• Build, package, and deploy the application

Audience

• Developers

Format of the course

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

Notes

• For customized training arrangements, please contact us.

This instructor-led, live training in Turkey (online or onsite) is designed for beginner to intermediate system administrators 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 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.