A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse ...

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

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 ...

The most successful AI integrations are happening inside governed martech stacks, where data quality is high, workflows are standardized and usage policies are enforced.

Project Overview This project is a hands-on implementation of a retail sales data pipeline using Azure data services. It covers the full end-to-end process—from ingesting raw data from multiple source ...

The software development life cycle (SDLC) guides teams through the software development process by outlining how to deliver high-quality software. Phases of the software development life cycle ...