Apache Kafka and Spring Boot Training Course

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

This instructor-led, live training (online or onsite) is aimed at intermediate-level system administrators and DevOps professionals who wish 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.
• 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 in Mexico (online or onsite) targets developers who wish to integrate Apache Kafka with existing databases and applications for processing, analysis, and more.

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

• Leverage Kafka Connect to ingest large volumes of data from databases into Kafka topics.
• Ingest log data generated by application servers into Kafka topics.
• Make collected data accessible 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 who want to leverage Confluent (a Kafka distribution) to build and manage a real-time data processing platform for their applications.

By the end of 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.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practice.
• 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 a customized training for this course, please contact us to arrange.

Apache Kafka serves as a distributed streaming platform and has become the industry standard for developing data pipelines. It addresses a wide range of data processing scenarios, functioning as a message queue, distributed log, stream processor, among other roles.

This course begins with an exploration of the theoretical foundations of data pipelines, followed by an in-depth look at Kafka's core concepts. You will also examine essential components such as Kafka Streams and Kafka Connect.

In this instructor-led, live training in Mexico (onsite or remote), participants will learn how to set up and integrate various 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 task.
• 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 program is designed for enterprise architects, developers, system administrators, and anyone seeking to comprehend and utilize a high-throughput distributed messaging system. If you have more specific objectives (e.g., focusing solely on system administration), this course can be customized to better align with your requirements.

This instructor-led, live training in Mexico (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 Mexico (online or onsite) is designed for intermediate-level developers who want to create big data applications using 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 Mexico (online or on-site) is targeted 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 Mexico (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 Mexico (online or onsite) is designed for intermediate-level system administrators seeking to effectively utilize Kafka's message queuing features.

Upon completing this training, participants will be capable of:

• Gaining a solid understanding of Kafka's message queuing capabilities and underlying architecture.
• Setting up Kafka topics tailored for message queuing scenarios.
• Producing and consuming messages via Kafka.
• Monitoring and managing Kafka in its role as a message queue.

This instructor-led, live training in Mexico (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.

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

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

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

• Comprehend the features and advantages of Kafka Streams compared to other stream processing frameworks
• Process stream data directly within a Kafka cluster
• Develop a Java or Scala application or microservice that integrates 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 blend of lectures, discussions, exercises, and extensive hands-on practice

Notes

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

This instructor-led, live training in Mexico (online or onsite) is designed for beginner to intermediate system administrators who want 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:

• Grasp 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.