A successful AI initiative is largely determined by the underlying quality of data. IT leaders are elevating their data lake, warehouse, and lakehouse strategies to provide the foundation.

When its custom data pipelines began to fail at scale, one team pragmatically chose a single tool to create momentum, valuing ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire ...

While data lake architectures are often bloated, costly, and slow to access, Abstract Security's LakeVilla is different: purpose-built for security, optimized for speed, and seamlessly integrated with ...

The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning ...

The primary goal of the tests is to determine if height limits for cold-formed steel-framed buildings can be increased.

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

Many organizations weigh the option of building a customer data platform (CDP) in-house to retain control and save on ...

The service, currently available in two US regions, is expected to be expanded into 20 additional regions in the next 12-18 ...