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 onsite) 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.
• Plenty 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 India (online or onsite) targets developers interested in integrating Apache Kafka with existing databases and applications for processing, analysis, and more.

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

• Utilize 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 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.

Apache Kafka is a distributed streaming platform. It has emerged as the de facto standard for constructing data pipelines and addresses a wide array of data processing use cases, serving functions such as a message queue, distributed log, stream processor, and more.

The course begins by exploring the theoretical underpinnings of data pipelines before delving into Kafka's core concepts. We will also examine key components like Kafka Streams and Kafka Connect.

In this instructor-led, live training in India (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 various Stream Processing frameworks, including 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, and more.
• Integrate the most appropriate stream processing library with enterprise applications and microservices.

This training is designed for enterprise architects, software developers, system administrators, and professionals seeking to grasp and leverage high-throughput distributed messaging systems. While broadly applicable, the curriculum can be customized to address specific requirements, such as focusing exclusively on system administration aspects, to better align with your organizational needs.

This instructor-led, live training in India (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 India (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 India (online or on-site) is designed for data engineers, data scientists, and developers 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 India (online or onsite) is aimed at 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 India (offered online or onsite) targets intermediate-level system administrators aiming to effectively utilize Kafka's message queuing features.

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

• Grasp Kafka's message queuing capabilities and architecture.
• Configure Kafka topics for specific message queuing scenarios.
• Produce and consume messages using Kafka.
• Monitor and manage Kafka as a message queue.

This instructor-led live training in India (online or onsite) is designed for software testers who aim to incorporate network security protocols into 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 credible clients have access to Kafka clusters with SSL and SASL authentication.

This instructor-led, live training in India (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 building applications and microservices that exchange data with the Kafka messaging system. Historically, Apache Kafka has depended on tools like Apache Spark or Apache Storm to handle data processing between message producers and consumers. However, by leveraging the Kafka Streams API within an application, data can be processed directly 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 transfer data to and from Apache Kafka for stream processing.

By the conclusion of 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
• 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 request customized training for this course, please contact us to arrange

This instructor-led, live training in India (online or onsite) is designed for system administrators at the beginner to intermediate level who wish to learn how to effectively manage Kafka topics for efficient data streaming and processing.

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

• Grasp the fundamentals and architecture of Kafka topics.
• Provision, configure, and oversee Kafka topics.
• Track Kafka topics to ensure their health, performance, and availability.
• Deploy security protocols for Kafka topics.