How PwC assist client data migrations with the help of SqlDBM

Metcash Limited, one of Australia’s largest distribution and wholesale companies, sits at the center of a sprawling supply chain that spans food, liquor, and hardware. As the backbone behind thousands of retail stores and independent business partners, Metcash’s operations depend on reliable data to track suppliers, manage warehouses, and report across its three major business pillars.

The Blueprint Before the Build

Migrate SQL Server source models into Snowflake Facilitate discussions between the engineering team and the analytics team Keep everyone informed on the model details via the data dictionary Features used Direct connection Deployments Model consumption Documentation Snowflake tags Concurrent working Leading the data warehouse initiative at Higginbotham Having used several modeling tools in the past, David closely understood the alternatives. “If we didn’t have a data modeling tool, I’d likely be doing something with a powerpoint with just simple block notation to represent these types of relationships.” However, the Higginbotham team uses conceptual and physical models to visualize their schemas at a better level. At the same time, Using simple, easy-to-read diagrams has provided a common understanding of the project at hand so that the engineering team could begin building out their warehouse in Snowflake.

Higginbotham’s Underwriting Efficacy Starts with Data Modeling

Revcontent is a leading content marketing platform run by a small, tight-knit team out of sunny Sarasota, Florida. They connect advertisers to highly engaged audiences through technology and direct partnerships with the world’s premier digital publishers.

From SQL Server to Snowflake Cloud with SqlDBM