- 📊 Create clear, detailed architecture diagrams using tools like Draw.io to visualize the ETL/ELT pipeline. - 🔄 Leverage Git, GitHub, or GitLab for version control, ensuring all changes to ...

The goal of this project is to build a robust, automated ETL pipeline that processes raw sales data from a CSV file into a structured, analytics-ready format. This project provides hands-on experience ...

According to Databricks, Expectations “help prevent bad data from flowing into tables, track data quality over time, and provide tools to troubleshoot bad data with granular pipeline observability so ...

I recently worked on a content project for Alooma, an ETL and data pipeline service on the cloud. ETL is “extract, transform, load,” a time-tested process for loading mission-critical events ...

Architectural Diagram: Designed an ETL pipeline architecture diagram (Data Pipeline Architecture.png) to visualize the data processing workflow. README File: Compiled a comprehensive README file to ...

ETL Vs ELT: Which One Is Right For Your Data Pipeline? Seasoned Data Engineer Arjun Mantri Shares His Insights Choosing the right data processing approach is crucial for any organization aiming to ...

during the forecast period. A data pipeline is a group of operations, instruments, and methods used to process raw data. Pipelines, which facilitate the transportation of data from its origin to ...

StreamSets updates ETL to the cloud data pipeline Cofounded by veterans of Informatica, StreamSets is providing a third-party alternative in a landscape populated by cloud provider dataflow services.