In this post, we will explore how to handle data backpressure in Spark Streaming. Data backpressure refers to the situation when the rate at which data is ingested exceeds the rate at which it can be processed, leading to memory overload and potential application failures. Problem Statement We want toRead More →
In this post, we will explore how to perform stateful operations in Spark Streaming. Stateful operations allow us to maintain and update the state across multiple batches of streaming data, enabling advanced processing and analysis of streaming data. Problem Statement We want to develop a Spark Streaming application that canRead More →
In this post, we will explore how to create a Spark Streaming application. Spark Streaming is a powerful component of Apache Spark that enables real-time processing and analysis of streaming data. Problem Statement We want to develop a real-time application that can process and analyze streaming data from a dataRead More →
