IoT devices have revolutionized the way businesses collect and utilize data. IoT devices generate an enormous amount of data that can provide valuable insights for informed decision-making. However, processing this data in real time can be a significant challenge, particularly when managing large data volumes from numerous sources. This is where Apache Kafka and Kafka data streams come into play.
Apache Kafka is a distributed streaming platform that can handle large amounts of data in real time. It is a messaging system commonly used for sending and receiving data between systems and applications. It can also be used as a data store for real-time processing. Kafka data streams provide a powerful tool for processing and analyzing data in real time, enabling real-time analytics and decision-making.
KSQL is a SQL streaming engine for Apache Kafka. It provides an easy-to-use, yet powerful interactive SQL interface for stream processing on Kafka, without the need to write code in a programming language like Java or Python. KSQL is scalable, elastic, and fault-tolerant. It supports a wide range of streaming operations, including data filtering, transformations, aggregations, joins, windowing, and sessionization.