4 Min Read
Stateful and stateless processing in Kafka Streams
Introduction to Stateful and Stateless Processing In this section, we will explore the concepts of stateful and stateless processing in Kafka Streams. Understanding the difference between stateful and stateless operations…
3 Min Read
Windowed operations and time-based processing
Introduction to Windowed Operations In this section, we will explore windowed operations and time-based processing in Kafka Streams. Windowed operations allow for performing computations over fixed-size time windows, enabling advanced…
4 Min Read
Applying various transformations on Kafka Streams data
Introduction to Transformations in Kafka Streams In this section, we will explore various transformations that can be applied to data streams in Kafka Streams. Transformations allow for modifying, filtering, and…
4 Min Read
Performing aggregations and grouping operations
Introduction to Aggregations and Grouping Operations In this section, we will explore aggregations and grouping operations in Kafka Streams. Aggregations allow for computing summary statistics and aggregating data based on…
4 Min Read
Exploring consumer group coordination with ZooKeeper or Apache Kafka’s built-in coordination mechanism
Introduction to Consumer Group Coordination In this section, we will explore the concept of consumer group coordination in Apache Kafka and the available mechanisms for achieving it. Understanding how consumer…
4 Min Read
Introduction to Apache Kafka and its role in real-time data streaming
In this section, we will provide an overview of Apache Kafka and its significance in real-time data streaming. Apache Kafka is a distributed streaming platform that is designed to handle…
4 Min Read
Overview of Kafka architecture: brokers, topics, partitions, and replication
In this section, we will explore the architecture of Apache Kafka, understanding its key components such as brokers, topics, partitions, and replication. Having a solid understanding of Kafka’s architecture is…
3 Min Read
Producers and consumers in Kafka
In this section, we will dive into the role of producers in Apache Kafka. Producers are responsible for publishing data records to Kafka topics. They send messages to Kafka brokers,…
1 Min Read
Understanding Kafka’s distributed nature and fault tolerance mechanisms
In this section, we will explore the distributed nature of Apache Kafka and how it enables scalability, fault tolerance, and high availability. Understanding Kafka’s distributed architecture is crucial for designing…