Modern business runs on software. This involves storing business data, and moving that data from place to place. In the old days, software stored the data in a siloed fashion. This meant it was only available in one place, cutoff from the rest of the world. Companies struggled to pull data from different locations. Combining it in meaningful ways was difficult. This isolated data only provided a fraction of its potential value. In modern applications, the data wants to be free.

A new Fivetran Airflow provider developed by Astronomer allows data engineers to run Fivetran data syncs more efficiently in Airflow 2.2+

“Data pipeline” and “Extract, Transform, Load” (ETL) are common phrases encountered in just about every data integration. But what’s the difference?

The point of evidence is to guide decisions, so transforming a business into being evidence-based has to start with leaders.

Good data hygiene means data is correct and easily used to draw insight. This definition then begs the question: How do you achieve it?

System integration is the process of combining different systems and software so that they can work together. It is also the process by which a system or application can interact with other systems, applications, or devices. Because each integration is unique, it is crucial to ensure that the tool you use to facilitate that integration is flexible enough to cover many cases.

Backcountry, the specialty retailer of premium outdoor gear and apparel, shares key lessons on using a modern data stack to overcome data silos, complexities with legacy systems and improve its customer experience.