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In Part-7 (FINAL) of this series, we will explore the different Stream Joining techniques in Kafka Streams. We will implement and demonstrate the concepts using a simple application in Java. Here is the link to the article:
Exploring Kafka Streams :: Part 7
Enjoy 🙂 !!!
In Part-6 of this series, we will re-explore the different Windowing techniques of Kafka Streams for aggregation, but with two changes – first is to extract the Kafka message timestamp and second is to use an in-memory state store. We will implement and demonstrate the concepts using a simple application in Java. Here is the link to the article:
Exploring Kafka Streams :: Part 6
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In Part-5 of this series, we will explore the different Windowing techniques of Kafka Streams for aggregation. We will implement and demonstrate the concepts using a simple application in Java. Here is the link to the article:
Exploring Kafka Streams :: Part 5
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In Part-4 of this series, we will shift gears to explore other aspects of Kafka Streams such as Custom data Serialization and Deserialization. We will implement and demonstrate the concepts using a simple application in Java. Here is the link to the article:
Exploring Kafka Streams :: Part 4
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In Part-3 of this series, we will continue to dig in a little deeper into Kafka Streams to understand State Store and Record Cache. We will implement and demonstrate the concepts using a simple application in Java. Here is the link to the article:
Exploring Kafka Streams :: Part 3
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In Part-2 of this series, we will start to dig in a little deeper into Kafka Streams to understand Stream Tasks and Stream Threads. We will implement and demonstrate the concepts using a simple application in Java. Here is the link to the article:
Exploring Kafka Streams :: Part 2
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In Part-1 of this series, we will install and setup the environment to explore Kafka Streams. Also, we implement and demonstrate two simple applications using Java. Here is the link to the article:
Exploring Kafka Streams :: Part 1
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Here is the link to Part-5 of the article on Spring Integration. In this part, we continue exploring two more Channel Adapters, such as the process of receiving message(s) from AMQP (using RabbitMQ) and receiving message(s) from Apache Kafka:
Spring Integration Notes :: Part – 5
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In Part-2 of this series, we will implement a producer and consumer using the Producer/Consumer Java API from Apache Kafka. Here is the link to the article:
Exploring Apache Kafka – Part 2
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In Part-1 of this series, we will introduce one of the most popular distributed streaming platforms – Apache Kafka. Here is the link to the article:
Exploring Apache Kafka – Part 1
Enjoy 🙂 !!!