A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework. In today’s data-driven landscape, ...

Using data fabric architectures to solve a slew of an organization’s operational problems is a popular—and powerful—avenue to pursue. Though acknowledged as a formidable enabler of enterprise data ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight. In the fast-evolving landscape of enterprise data ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...