Overview
Explore the best practices, validation techniques, and automation strategies for ensuring complete and accurate data across cloud-native pipelines using ETL and ELT models.
As data becomes central to enterprise strategy, inaccurate or inconsistent information can derail key decisions. Traditional testing can’t keep up with cloud-native data warehouses’ speed, scale, and complexity. Redshift, BigQuery, and Azure Synapse demand a more modern, automated approach to ensure data trust.