Apache Kafka is a messaging-based event streaming platform. It is designed to ingest and process data and modernize those data strategies in real-time.

There are 3 types of Kafka transaction semantics; At most once semantics, At least once semantics, and Exactly one semantics. Why and where to use them?!

Kafka is a community-distributed event streaming platform from Apache. It is a reliable app due to its ability to handle up to trillions of events every day.

Consistency and Completeness are two vital concepts for Apache Kafka and the database systems in general. Learn how does Apache Kafka achieves them!

A data pipeline is a service that processes data in sequence. Move data from one state to another by creating a data pipeline using Spark, Kafka, and Hive.

Why and where to use each of three types of Kafka's delivery guarantees; At most once semantics, At least once semantics, and Exactly one semantics?!