Supporting Data Quality Processes with Automated Data Lineage

Treat data like a product, not an afterthought. A new paradigm has emerged among forward-thinking data teams: treat your data like a product.

This may sound easy in theory, but it’s far from it! Product development processes have become incredibly sophisticated, with resources dedicated to reliability, adoption, feature roadmaps, and more.

While challenging, data products also present a massive opportunity for data teams to increase trust, measure value, and improve capacity. We’ll cover:

Creating SLAs
Assigning ownership
Documentation, discovery, and self-service
Governance and compliance
Developing data contracts
Certifying data sets
Assessing and demonstrating value with KPIs
DataOps and agile methodologies
External Data Products
And more!

Our guide will take you beyond the buzz and into the best practices deployed by some of today’s leading data professionals. Get your free copy today.


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