Security for 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, targets intermediate-level system administrators and DevOps professionals seeking to install, configure, monitor, and troubleshoot Confluent Apache Kafka clusters.

Upon completion of this training, participants will be equipped 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.

Course Format

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

Course Customization Options

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

This guided, live training in South Korea (online or onsite) is aimed at developers who wish to integrate Apache Kafka with existing databases and applications for processing, analysis, etc.

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

• 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 aiming to leverage Confluent—a distribution of Kafka—to construct and manage a real-time data processing platform for their applications.

Upon completing this training, participants will be equipped to:

• Install and configure the Confluent Platform.
• Leverage 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 within a live lab environment.

Customization Options

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

Apache Kafka serves as a distributed streaming platform and has become the de facto standard for constructing data pipelines. It addresses a wide array of data processing use cases, functioning effectively as a message queue, distributed log, stream processor, and more.

The course begins by exploring the theoretical foundations of data pipelines, followed by an in-depth look at the core concepts underpinning Kafka. Additionally, we will examine essential components such as Kafka Streams and Kafka Connect.

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

Upon completing 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 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 appropriate stream processing library with enterprise applications and microservices.

This course is designed for enterprise architects, developers, and system administrators, as well as anyone seeking to understand and implement high-throughput distributed messaging systems. While the curriculum covers broad technical aspects, it can be customized to focus on specific areas, such as system administration, to better align with your unique requirements.

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

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

• Comprehending the architecture and core components of Kafka.
• Setting up and configuring a Kafka cluster.
• Producing and consuming messages using Java.
• Implementing Kafka Streams for real-time data processing.
• Ensuring fault tolerance and scalability in Kafka applications.

This instructor-led, live training in South Korea (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:

• 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 South Korea (online or onsite) targets intermediate-level developers looking to master Kafka fundamentals and integrate it with Spring Boot.

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

• Grasp the concept and architecture of Kafka.
• Install, configure, and set up a foundational Kafka environment.
• Integrate Kafka seamlessly with Spring Boot.

Kafka Streams serves as a client-side library designed for developing applications and microservices that exchange data with a Kafka messaging system. Historically, processing data between producers and consumers via Apache Kafka required external tools such as Apache Spark or Apache Storm. However, by utilizing the Kafka Streams API within an application, data processing can occur directly within the Kafka environment, eliminating the need to transfer data to a separate cluster for handling.

In this instructor-led live training, participants will learn how to integrate Kafka Streams into sample Java applications that facilitate data exchange with Apache Kafka for stream processing purposes.

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

• Comprehend the features and benefits 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

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

Notes

• For customized training requests, please contact us to arrange your specific needs.

This instructor-led, live training in South Korea (online or on-site) targets 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 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.