Data Governance Framework Needs an Accountability Matrix
In the increasingly data-driven world, organizations are collecting, processing, and analyzing vast amounts of information. While data offers immense opportunities, it also presents significant challenges,...
ETL Orchestration Needs a Retry and Backfill Policy
In complex data pipelines, especially those involving Extract, Transform, Load (ETL) processes, ensuring robust and resilient operation is paramount. ETL jobs are often interdependent, processing...
Data Warehouse Modeling Needs a Grain Decision
In the architecture of a data warehouse, one of the most fundamental and impactful decisions is determining the “grain” of the fact table. The grain,...
Batch vs. Streaming Needs a Latency Requirement
In the realm of data processing, two fundamental paradigms dominate: batch processing and streaming processing. Batch processing deals with data collected over a period, processing...
Data Contract Testing Needs a Breaking Change Policy
In modern data architectures, where data flows between numerous systems and teams, the concept of data contracts has emerged as a critical tool for ensuring...
Data Pipeline Reliability Needs a Freshness SLO
In the intricate world of data engineering, a data pipeline is only as valuable as the freshness and reliability of the data it delivers. Establishing...