Pipeline To Insights

Pipeline To Insights

Data Quality

How I Built a Data Catalogue From Scratch As a Data Engineer
A real-world breakdown of implementing a data catalogue in a low-maturity environment, with no documentation, no clear ownership, and no starting point.
Apr 10 • Erfan Hesami and Pipeline to Insights
End To End Agentic Data Modeling: Using AI and OpenMetadata MCP for Impact Analysis
How AI Agents enhance data modelling processes with unified metadata to understand impact, lineage, and ownership across the modern data stack.
Jan 7 • Erfan Hesami and Alejandro Aboy
Data Quality Design Patterns
Overview of WAP, AWAP, TAP, and More with Implementation Examples
Dec 2, 2025 • Erfan Hesami
Getting Started with OpenMetadata: An Open-Source Data Catalogue Solution
What is OpenMetadata, how to deploy it, our experience with it, and many more.
Oct 30, 2025 • Erfan Hesami
Metadata: What it is and why do we need it?
Why Metadata is Essential for Efficient Data Engineering
Feb 28, 2025 • Erfan Hesami
Why Data Quality Is the Key to AI Success
Common data quality problems and their impact on AI
Feb 12, 2025 • Erfan Hesami
Implementing Data Quality Framework with dbt
How to Identify, Address, and Implement Data Quality Solution using dbt
Feb 6, 2025 • Erfan Hesami
Fundamentals of Data Quality for Data Engineers
Understanding Data Quality Dimensions and How They Help Data Solutions
Jan 21, 2025 • Erfan Hesami
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