We look at cloud data lakes, what they are, where they fit in the data management lifecycle, their benefits and the key providers in the hyperscaler clouds ...

The data lakehouse architecture is leading this change—particularly for machine learning (ML) and advanced analytics—by combining the strengths of both data lakes and data warehouses.

Traditional data warehouses—once the backbone of business intelligence and reporting—are increasingly misaligned with today’s data demands.

As data volumes continue to grow exponentially, AI inference and big data analytics demand systems that can scale, while providing real-time processing capabilities. A data lakehouse combines the ...