NoSQL and Hadoop—two foundations of the emerging agile data architecture—have been on the scene for several years now, and, industry observers say, adoption continues to accelerate—especially within ...

First, there was a data warehouse – an information storage architecture that allowed structured data to be archived for specific business intelligence purposes and reporting. The concept of the data ...

The data lakehouse – it’s not a summer retreat for over-worked database administrators (DBAs) or data scientists, it’s a concept that tries to bridge the gap between the data warehouse and the data ...

The enterprise data landscape is undergoing a fundamental shift as the importance of unstructured data grows in parallel with the rise of generative AI and agentic workflows. Data platforms are ...

SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale. One of the most fundamental choices to make when developing an ...