Data is often a complex entity with a significant backstory. Within an enterprise data-processing pipeline, a particular record may be stored, merged, cleansed, and otherwise processed at various points before being delivered to its intended use.
Data lineage illuminates the story of how this trusted asset originated, how extensively it has been processed, and how widely it’s been distributed. BI developers may use data lineage tools to identify the root causes that explain why a particular dashboard is displaying an error or seemingly anomalous value. Data engineers may use them to visualize the flow of ETL processes that populate data into a wide range of business applications. Also, by mapping cross-system dependencies, data architects may use data lineage tools to predict how changes to linked business processes trigger complex updates across scattered information systems.
Join TDWI’s senior research director James Kobielus on this webinar to learn how data lineage tooling—in conjunction with investments in data catalogs, business glossaries, metadata management, and other capabilities--can help business and IT stakeholders do their jobs more effectively and build trust in their data.
Attendees will explore the following data lineage best practices:
Date: July 13, 2021
Time: 9:00AM PT
Individual, Student, and Team memberships available.