Implemented pandas-based cleaning rules in data_preprocessing.py, transformations for salesorder.csv → clean_salesorder.csv, pipeline testing via multiple DAG runs.
Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. To drive efficiency and elevate constituent service, state and ...
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 ...
End‑to‑End DWBI Project Overview Built a scalable, maintainable pipeline—from data modeling through synthetic data generation and automated Snowflake ingestion to interactive Power BI dashboards—using ...
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Mastering Big Data and Automation: Viharika's Pioneering Approach toward Software Quality Assurance
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 ...
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 ...
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