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Data Tracking
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Everything about Data Tracking
- Article · PostgreSQL
Building Data Lineage Pipelines for PostgreSQL AI Workloads
Build data lineage pipelines for PostgreSQL AI workloads to track data movement, transformations, dependencies, and provenance for better governance and AI observability.
- Article · Databases & DBA
ETL Design Pattern to Implement SCD Type 2 Using SQL, SSIS, or dbt
SCD Type 2 is widely used in data warehousing to preserve full history of dimensional changes. Implementing it correctly through your ETL process is crucial for accurate historical reporting.
- Article · .NET
Understanding System-Versioned Tables in SQL
System-versioned tables in SQL automatically track data changes, maintaining historical records for auditing and recovery. They consist of a main table (current data) and a history table (past records).
- Article · Dynamics CRM
Tracking Exports to Excel in Dynamics 365 CRM with Email Alerts
This guide covers the process of monitoring data exports, configuring workflows, enabling real-time alerts, and ensuring efficient data management and timely updates in your CRM system.
