Legacy data platforms in the U.S. public sector often fall short of the performance, processing and scaling requirements for robust AI/ML initiatives. This is especially true in complex multi-cloud (public, private, edge, airgapped) environments. The combined power of MinIO and Dremio creates a data lakehouse ...

Many agencies today are struggling not only with managing the scale and complexity of cyber data but also with extracting actionable insights from that data. With new data retention regulations, such as M-21-31, compounding this problem further, agencies need a next-generation solution to address these ...

Many government organizations employ data lakes for analytical workloads. However, a common challenge faced with existing data lake deployments is their frequent inability to deliver expected business insights. The complexity, high operational costs, and poor performance often impedes an organization's ability to extract ...