This project demonstrates a fully functional ETL pipeline that extracts, transforms (including sanitization of data using the Pandas library), loads, and analyzes data. The pipeline leverages Google ...

cehrbert_data is the ETL tool that generates the pretraining and finetuning datasets for CEHRbERT, which is a large language model developed for the structured EHR ...

If you want clean and reliable data in your ETL process, you need to prioritize data quality management. This article will explore strategies to ensure your data is accurate and trustworthy. From data ...

Comparing source and target data is essential for verifying the quality and integrity of the data after the ETL process. It helps you identify any data loss, corruption, duplication, or mismatch ...

What is the best career fit for me? Take our assessment now. Finding your dream job starts with knowing what makes you the way you are. Simple Statements that relate to you. Unique Be yourself ...