In this course, you'll embark on a journey to master Apache Kafka, beginning with a solid introduction to its core concepts and architecture. You'll learn about essential topics such as producers, consumers, partitions, and offsets, all while understanding how they fit together within the broader Kafka ecosystem. Each theoretical section is paired with practical examples, ensuring that you not only understand the "what" but also the "how" of Kafka.
As you progress, you'll delve into advanced Kafka operations, including starting Kafka without Zookeeper using KRaft mode and mastering the command line interface. The course also includes a thorough exploration of Kafka Java programming, where you'll learn to implement producers and consumers, handle callback functions, and manage consumer groups. By the end of this section, you'll be ready to tackle real-world Kafka projects, armed with the knowledge to implement efficient, scalable solutions.
The final modules focus on real-world insights and case studies, where you'll see how Kafka is applied in different industries, from big data ingestion to logging and metrics aggregation. You'll also explore Kafka's role in enterprise environments, focusing on cluster setup, security, and multi-cluster operations. Whether you're new to Kafka or looking to deepen your understanding, this course provides the tools and knowledge to excel in the world of data streaming.
This course is ideal for software developers, data engineers, and IT professionals who are new to Apache Kafka and wish to learn from the ground up. No prior experience with Kafka is required, though a basic understanding of distributed systems and Java programming is beneficial.
Apache Kafka Series - Learn Apache Kafka for Beginners v3
Overview
Syllabus
- Kafka Introduction
- In this module, we will introduce you to the fundamentals of Apache Kafka. You will gain an understanding of the course’s scope, objectives, and the author's background. This will set the stage for your journey into Kafka’s architecture and functionality.
- Kafka Theory
- In this module, we will dive into the theoretical aspects of Kafka. You will explore the architecture and essential components, such as topics, partitions, and consumer groups, and learn about advanced topics like replication and Kafka KRaft. This foundation will be crucial as you move into more practical applications later in the course.
- Starting Kafka
- In this module, we will guide you through the practical steps needed to start Kafka on different platforms such as Mac OS X, Linux, and Windows. You'll learn how to overcome challenges during installation and start Kafka using multiple approaches, including Conduktor and Brew.
- Starting Kafka without Zookeeper
- In this module, we will focus on starting Kafka using the KRaft mode, which eliminates the need for Zookeeper. You'll learn how to configure and start Kafka Brokers in KRaft mode on Mac OS, Linux, and Windows, enabling a more streamlined Kafka setup.
- Command Line Interface (CLI) 101
- In this module, we will explore the essential Kafka command line interface (CLI) tools. You'll become proficient in managing Kafka topics, producing and consuming data, and handling consumer groups using the CLI, all crucial for efficient Kafka operations.
- Kafka UI
- In this module, we will introduce you to Kafka's graphical user interface tools, with a focus on Conduktor. You'll learn how to navigate Kafka's UI for efficient management and monitoring of Kafka clusters, simplifying the administration tasks.
- Kafka Java Programming 101
- In this module, we will cover the basics of programming with Kafka using Java. You'll learn how to create Kafka producers and consumers, handle message keys, and implement advanced features like graceful shutdowns and consumer group management in Java.
- Kafka Real-World Project
- In this module, we will guide you through a real-world Kafka project. You'll learn how to apply the Kafka concepts you've studied to design and implement a practical solution, providing you with hands-on experience in a realistic setting.
- Kafka Wikimedia Producer and Advanced Configurations
- In this module, we will dive into advanced Kafka producer configurations, focusing on optimizing performance and ensuring data durability. You'll work on a Wikimedia producer project, learning to fine-tune Kafka settings for different scenarios and data sources.
- OpenSearch Consumer and Advanced Consumer Configurations
- In this module, we will explore the integration of Kafka with OpenSearch, covering both the setup process and advanced consumer configurations. You'll learn how to implement strategies for effective data consumption, manage offsets, and ensure reliable data processing.
- Kafka Extended APIs for Developers
- In this module, we will introduce you to Kafka's extended APIs, including Kafka Connect, Streams, and Schema Registry. You'll gain hands-on experience with these APIs, learning how to leverage them for diverse data processing tasks and seamless integration with other systems.
- Real-World Insights and Case Studies (Big Data / Fast Data)
- In this module, we will review real-world case studies to showcase Kafka's application in various industries. You'll gain insights into the challenges and solutions in big data and fast data environments, helping you apply best practices in your own Kafka projects.
- Kafka in the Enterprise for Admins
- In this module, we will cover advanced topics related to managing Kafka in enterprise settings. You'll learn about Kafka cluster setup, monitoring, and security, as well as managing multi-cluster deployments and ensuring robust communication protocols.
- Advanced Topics Configurations
- In this module, we will focus on advanced Kafka configurations, including topic settings, log management, and handling large messages. You'll learn how to optimize Kafka for your specific needs, ensuring efficient and reliable data processing.
- Next Steps
- In this final module, we will guide you through the next steps in your Kafka learning journey. You'll receive recommendations on advanced topics and specialized areas to explore, along with resources to help you continue building your Kafka expertise.
Taught by
Packt - Course Instructors
