For IT teams, cutting tech debt and reducing toil is most likely at the top of their 2024 New Year’s resolutions. In the ever-evolving landscape of data management and artificial intelligence (AI), ...

In the early 2000s, manufacturers asked, “How can we collect more data?” The industry resoundingly responded. Today, manufacturers collect unprecedented amounts of data, causing many to remember the ...

Many organizations nowadays are struggling with finding the appropriate data stores for their data. Let’s zoom in on some key data structures to facilitate corporate decision making by means of ...

The "data" part of the terms "data lake," "data warehouse," and "database" is easy enough to understand. Data are everywhere, and the bits need to be kept somewhere. But should they be stored in a ...

Enterprise AI needs one thing if it’s to get around the limitations of large language models and deliver the results businesses need from their agents. It doesn’t matter if you’re building ...

Technology has afforded nonprofits access to a tremendous amount of data to raise revenue, run their operations, and pursue their mission. But access is not the equivalent of understanding the full ...

Data lakes and data warehouses are achieving a measure of success in modern data architectures, but the emergence of the data lakehouse offers new challenges and opportunities for database ...

The big data landscape has exploded in an incredibly short amount of time. It was just in 2013 that the term “big data” was added to the pages of the Oxford English Dictionary. Fewer than five years ...