Beyond Pretty Graphs: How End-to-End Lineage Drives Better Actions

In this webinar, Databand’s VP of Product Shani Keynan and Product Evangelist Ryan Yackel pull together Airflow, dbt, Spark and Redshift into a real-world example of the power of end-to-end data lineage.

Data Lineage Webinar Banner

What's inside

Seems like everyone is talking about data lineage these days, and for a good reason. Data lineage helps ensure better data quality across your modern data stack.

But not everyone speaks the same lineage language.

Data engineers use lineage for impact and root cause analysis. Analysts and Analytics engineers use lineage to trace jobs and transformations in their warehouses. And consumers use lineage to understand why data never reached their expected destination.

This results in a narrow, siloed view lineage in which only one group benefits.

It’s time to stop using siloed lineage views for pretty graphs and start using end-to-end lineage to drive focused actions.

In the talk, you will learn:

  • How data quality tailors to specific needs of data engineers, analysts, & consumers
  • How data lineage should drive actions vs pretty graphs
  • A real-world example of end-to-end data lineage with Airflow, dbt, Spark, and Redshift

Keep up with the Databand community

Blog

What is Data Lineage?

The term “data lineage” has been thrown around a lot over the last few years. What started as an idea of connecting between datasets quickly became a very confusing term that now gets misused often. It’s time to put order to the chaos and dig deep into what it really […]

Blog

What is Data Reliability and How Observability Can Help

Data matters more than ever – we all know that. But at a time when being a data-driven business is so critical, how much can we trust data and what it tells us? That’s the question behind data reliability, which focuses on having complete and accurate data that people can […]

Blog

What is Data Governance and Where Observability Fits In

Data is the most valuable asset for most businesses today. Or at least it has the potential to be. But to realize the full value, organizations must manage their data correctly. This management covers everything from how it’s collected to how it’s maintained and analyzed. And a big component of […]