Ep. 132 Enhancing Collaboration in Federal Systems

If you were to take a class in Data Management 101, you would walk into the classroom on the first day and be bombarded with terms like data lake, data warehouse, and data mart. Phew. Where to begin?

Let us jump to a federal agency. They are being deluged with data from low code no code, big application platforms, and let us not forget legacy applications that are not in the cloud. How to manage this ball of data confusion. Once it is overseen, how can an agency share information with outsiders to allow for data collaboration?

We begin today with a solution offered by a company called Snowflake. Winston Chang suggests that if can take advantage of a single platform, you can abstract the data layer which allows you to manage the data more effectively.

OK. Now that we can look across data sets, we encounter the problem of what eyes get to see. Who gets to see what columns and rows and who does not? Winston Chang suggests that a data platform will enhance collaboration by allowing leaders to be able to decide which information, or parts of information, will be available to which parties.

During the interview, Winston makes some provocative statements. He argues that if we want to focus on infrastructure, then the data itself must be considered as the infrastructure.

If this discussion provokes more detailed information, you may want to consider attending the “Data for Breakfast” conference on March 7, 2024, at Tyson’s Corner Ritz Carlton. You can question experts from  Snowflake on topics as varied as artificial intelligence and managing data as a platform.

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