Implemented pandas-based cleaning rules in data_preprocessing.py, transformations for salesorder.csv → clean_salesorder.csv, pipeline testing via multiple DAG runs.
A social media post from the US Food and Drug Administration this week shows a big-eyed macaque staring out from behind bars. “Some drugs use 144 monkeys on average for preclinical testing,” the post ...
┌─────────────────┐ │ Data Sources │ (CRM, ERP Systems) └────────┬────────┘ │ ┌─────────────────┐ │ Bronze Layer │ Raw ...
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 ...
Abstract: In today's data-driven enterprises, data warehouses are crucial for aggregating diverse datasets for analysis and research. The ETL (Extract, Transform, Load) process is central to this, ...
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