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

Abstract: The process to certify highly automated vehicles has not yet been defined by any country in the world. Currently, companies test automated vehicles on public roads, which is time-consuming ...

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 ...

Technology, changing at a breakneck speed, has never raised higher demands for practitioners who can guarantee the integrity, security, and performance of large-scale applications. Viharika is at the ...

Major League Baseball is making strides toward potentially improving the accuracy of called strikes and balls. Per The Athletic's Evan Drellich, commissioner Rob Manfred said MLB plans to test the ...

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 ...

Stop spending weeks on boilerplate. This PySpark project template for Databricks gives you medallion architecture, Python packaging, unit + integration + load tests, CI/CD via Declarative Automation ...