Building Kafka Solutions with Confluent Training Course

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

This instructor-led live training (available online or on-site) is designed for intermediate-level system administrators and DevOps professionals who want to install, configure, monitor, and troubleshoot Confluent Apache Kafka clusters.

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

• Understand the components and architecture of Confluent Kafka.
• Deploy and manage Kafka brokers, Zookeeper quorums, and key services.
• Configure advanced features including security, replication, and performance tuning.
• Use management tools to monitor and maintain Kafka clusters.

Format of the Course

• Interactive lecture and discussion.
• Extensive 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 in Brazil (online or onsite) is designed for developers aiming to integrate Apache Kafka with existing databases and applications for processing, analysis, and more.

Upon completing this training, participants will be equipped to:

• Utilize Kafka Connect to import significant amounts of data from databases into Kafka topics.
• Ingest log data produced by application servers into Kafka topics.
• Prepare collected data for stream processing.
• Export data from Kafka topics to 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.

Apache Kafka stands as a distributed streaming platform, widely recognized as the industry standard for developing data pipelines. It effectively addresses a broad spectrum of data processing requirements, functioning as a message queue, distributed log, stream processor, among other capabilities.

This course begins by exploring the foundational theory of data pipelines, followed by an examination of Kafka's core principles. Participants will also gain insights into key components such as Kafka Streams and Kafka Connect.

In this instructor-led, live training at Brazil (onsite or remote), participants will learn how to set up and integrate different Stream Processing frameworks with existing big data storage systems and 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 the job.
• Process of data continuously, concurrently, and in a record-by-record fashion.
• 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, system administrators, and anyone seeking to understand and leverage a high-throughput distributed messaging system. If you have more specific requirements (e.g., focusing solely on system administration), this course can be customized to better suit your needs.

This instructor-led, live training in Brazil (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 Brazil (online or onsite) targets intermediate-level developers who want 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 and 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 Brazil (online or onsite) is aimed at 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 Brazil (online or onsite) is designed for intermediate-level Java developers who wish 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:

• Grasp the architecture and fundamental 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 within Kafka applications.

This instructor-led live training in Brazil (online or on-site) targets intermediate-level system administrators seeking to effectively utilize Kafka's message queuing capabilities.

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

• Comprehend 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 Brazil (online or onsite) is designed for software testers aiming to implement network security measures within Apache Kafka applications.

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 that credible clients have access to Kafka clusters via SSL and SASL authentication.

This instructor-led, live training in Brazil (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.

Kafka Streams is a client-side library designed for developing applications and microservices that exchange data with a Kafka messaging system. Traditionally, processing data between message producers and consumers with Apache Kafka has relied on tools like Apache Spark or Apache Storm. However, by utilizing the Kafka Streams API directly within an application, data can be processed natively inside Kafka, 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 send and receive data via Apache Kafka for stream processing.

Upon completing this training, participants will be capable of:

• Understanding the features and advantages of Kafka Streams compared to other stream processing frameworks
• Processing stream data directly within a Kafka cluster
• Writing Java or Scala applications or microservices that integrate 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 request customized training for this course, please contact us to arrange it.

This guided, live training in Brazil (online or in person) targets beginner to intermediate system administrators aiming to learn how to effectively manage Kafka topics for optimal data streaming and processing.

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

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