Design and implement an end-to-end ETL (Extract, Transform, Load) pipeline using SQL for data extraction and transformation, and Python for orchestration and automation. Use any open dataset (e.g., ...

Cloud migration has shifted from a question of "if" to one of "how fast and how well." For today's enterprise leaders, the true differentiator is not just reaching the cloud, but doing so with ...

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, ...

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 ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...

Extract, Transform, Load (ETL) is a primary data processing method that plays a crucial role in converting raw data into actionable insights. By ensuring that data is collected, processed and ...

Apache Kafka has revolutionized how organizations handle real-time data streams, becoming a cornerstone of modern data architectures. This blog explores the landscape of ETL (Extract, Transform, Load) ...