Implemented pandas-based cleaning rules in data_preprocessing.py, transformations for salesorder.csv → clean_salesorder.csv, pipeline testing via multiple DAG runs.

With the open-source Dataverse SDK for Python (announced in Public Preview at Microsoft Ignite 2025), you can fully harness the power of Dataverse business data. This toolkit enables advanced ...

Whether you're migrating to the cloud or scaling data platforms, testing becomes the backbone of reliable analytics. Azure Databricks, powered by Apache Spark, offers a robust environment for building ...

ETL Migration Agent is a Model Context Protocol (MCP) server that extends GitHub Copilot with specialized tools for migrating legacy ETL code to Python. It provides a suite of AI-powered tools that ...

Apache Airflow is a platform for managing data pipeline that is written in Python, used for creating and scheduling tasks. Being entirely based on code, it is extensively used in data engineering for ...

Databricks, AWS and Google Cloud are among the top ETL tools for seamless data integration, featuring AI, real-time processing and visual mapping to enhance business intelligence. Extract, transform ...

Earlier this year, I had the privilege of serving on the organizing committee for the DataTune conference in my hometown of Nashville, Tenn. Unlike many database-specific or platform-specific ...

Optimized apps and websites start with well-built code. The truth, however, is that you don't need to worry about performance in 90% of your code, and probably 100% for many scripts. It doesn't matter ...

As data analytics professionals, we all know that ETL (Extract, Transform, Load) is a critical process for data analytics projects. When it comes to choosing the right tools for ETL, DBT (Data Build ...

With each new generation of high-end mobility handheld devices, we get new capabilities. It started with digital cameras and continued with Bluetooth and GPS. Now, FM has become a standard feature.