Spark Declarative Pipelines: Databricks’ Bold Espresso Shot for Data Engineering
Databricks has introduced Apache Spark Declarative Pipelines, letting engineers say *what* they want done with data, instead of explaining *how* to do it. This makes building data pipelines faster, easier, and less errorprone, like making a perfect cup of coffee by just pressing a button. The new system cuts way down on code, automates tricky parts like error handling, and only processes new data, which saves time and money. Best of all, Databricks made this tool opensource, so anyone can use it or build on it, making the whole data world buzz with excitement.
