The Intelligence Community just signed and will soon release a data reference architecture intended to help its 18 elements connect siloed data across their distributed ecosystem, according to Chief ...

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.

Bloomberg has won Best Data Analytics Provider at the WatersTechnology Inside Market Data & Inside Reference Data Awards 2025 for its Risk & Investment Analytics Suite for the third time. These awards ...

In an era where data is a strategic asset, organizations often falter not because they lack data—but because their architecture doesn’t scale with their needs. Leaders must design data ecosystems that ...

In today’s fast-changing data landscape, having a strong data system and advanced analytical tools is key to getting valuable insights and staying ahead of the competition. The data lakehouse ...

The race toward AI is revealing a plethora of much-needed optimizations at the architectural level—and upgraded data management strategies are taking center spotlight. Experts from Snowflake and ...

Oracle has announced the general availability of Exadata Exascale, saying it brings up to 95% reduction in infrastructure costs, and unites the best of Exadata's database intelligent architecture and ...

The evolution of data architecture for analytics began in earnest with relational data warehouses. Although these systems were good at generating insights from historic data, and thus offered some ...

The headless data architecture is the formalization of a data access layer at the center of your organization. Encompassing both streams and tables, it provides consistent data access for both ...

There is a growing urgency to adopt cloud services to buttress today’s rapidly growing inventories of high-end analytic and AI applications. This is fueled by massive volumes of data that are spilling ...