Building Scalable Data Pipelines with Kafka, Structured Streaming and Spark

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In today’s fast-paced and data-driven world, businesses need to process and analyze vast amounts of data in real-time to gain insights and make informed decisions. This is where Kafka and streaming technologies come in. Apache Kafka is an open-source distributed event streaming platform that can handle high volumes of data from various sources in real-time. Kafka allows users to publish, subscribe, and process data streams in a fault-tolerant, scalable, and distributed manner.

Streaming technology, on the other …

apache apache spark batch components data kafka micro spark streaming