💌Apache Kafka is a distributed messaging platform that stores and processes streaming data
🔀Kafka uses topics and partitions to organize and distribute messages among brokers
💡KSQL is a streaming SQL engine for Apache Kafka that allows developers to query and manipulate real-time data
🚀KSQL simplifies complex streaming data processing tasks by providing a familiar SQL-like syntax
🌐Apache Kafka and KSQL are widely used in industries such as finance, e-commerce, and social media
What is Apache Kafka?
—Apache Kafka is a distributed messaging platform that is used to store and process streaming data.
What are topics and partitions in Kafka?
—Topics are queues of messages in Kafka, while partitions are the divisions within a topic that allow for distribution and scalability.
What is KSQL?
—KSQL is a streaming SQL engine for Apache Kafka that enables developers to query and manipulate real-time data streams.
How does KSQL simplify data processing?
—KSQL simplifies data processing by providing a familiar SQL-like syntax that allows developers to work with streaming data using simple, declarative queries.
What industries use Apache Kafka and KSQL?
—Apache Kafka and KSQL are widely used in industries such as finance, e-commerce, social media, and more for processing real-time data streams.
00:01Apache Kafka is a distributed messaging platform used for storing and processing streaming data.
06:32Kafka uses topics and partitions to organize and distribute messages among brokers.
09:01KSQL is a streaming SQL engine for Apache Kafka that simplifies the processing of real-time data.
11:13Kafka and KSQL are widely used in industries such as finance, e-commerce, and social media.
