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Federal agencies require secure and efficient ways to access, centralize, share, and analyze data. They deliver results across a wide range of missions such as discovering groundbreaking medical insights, delivering vital services, and supporting soldiers on the digital battlefield, to name a few. Each mission depends on access to trusted, high-quality data.

But data often lives in siloed systems, and ingesting these terabytes (or even petabytes) of data can be labor-intensive, if not impossible. Lack of data and the inability to derive the deepest and most profound insights from that data can hinder agencies’ efforts. Knowing this, how can these organizations access and analyze the data they need in a secure, governed, and cost-effective manner to deliver for today and impact tomorrow?

Snowflake and Ä¢¹½ÊÓƵ Allen have partnered to bring the Snowflake Data Cloud—a modern cloud-built data platform—to the federal market. In a large-scale implementation currently underway with a federal agency, the goal is to create a single place to seamlessly and securely share live data across the agency and with other agencies for near real-time reporting. This will support agency missions and enable automated and dynamic infrastructure management to scale its data analytics, as needed.

Amid this push to deliver modern data sharing to advance federal government missions, Snowflake and Ä¢¹½ÊÓƵ Allen are proud to partner together to provide clients powerful, efficient, and easy-to-use solutions. Snowflake’s fully managed, software-as-a-service (SaaS) solution lowers the barrier to entry for advanced data analytics endeavors. With the Data Cloud, agencies can provision their Snowflake environment in just minutes. Snowflake also offers data engineers, data scientists, and application developers the ability to build solutions using their programming language of choice—Java, Scala, or Python—inside of Snowflake to maximize flexibility and continuity.ÌýÌý