In this post, we will explore how to perform sliding window operations in Spark Streaming. Sliding window operations allow us to analyze data over a sliding time window with overlapping intervals, enabling continuous calculations and aggregations on streaming data. Problem Statement We want to develop a Spark Streaming application thatRead More →
In this post, we will explore how to write data to Apache Kafka in a Spark Streaming application. Apache Kafka is a distributed streaming platform that enables high-throughput, fault-tolerant, and scalable data streaming. Problem Statement We want to develop a Spark Streaming application that can process data in real-time andRead More →
In this post, we will explore how to read data from Apache Kafka in a Spark Streaming application. Apache Kafka is a distributed streaming platform that provides a reliable and scalable way to publish and subscribe to streams of records. Problem Statement We want to develop a Spark Streaming applicationRead More →
