Welcome to 2024. You made it and this year is going to be big for Spark, Lakehouses, Stream processing engines and streaming data in general. I’ve had O’Reilly’s Stream Processing with Apache Spark, Streaming Systems and Stream Processing with Apache Flink on my shelves for… Read More »Data frameworks in 2024 – Which do you pick?
Data pipelines serve as the backbone of effective data processing and analysis. They provide a streamlined and automated way to extract, transform, and load data, enabling businesses to make data-driven decisions and uncover actionable insights. In this guide, we’ll delve into the intricacies of data pipelines and shed light on their significance in today’s data-driven landscape.
Introduction Apache Kafka and Apache Spark Streaming are two popular open-source frameworks used for building real-time data pipelines and streaming applications. Kafka provides a distributed pub/sub messaging system that allows you to publish and consume streams of records or messages. It can handle large amounts… Read More »The Synergistic Symphony of Kafka and Spark Streaming
Data pipelines are useful tools for companies that need to process large amounts of data quickly–and since they’re automated by nature, they save time for both humans and machines!