Therefore, choosing between relational and NoSQL cloud databases will come down to your needs in terms of schema structure (type of data), data organization, scaling needs, and other factors that ...

The new version of this database breaks the original OUTDRPRG.MDB database into two databases, one holding queries, forms, reports, macros, etc. (OAPROG.MDB) and the other holding the data ...

Relational queries are tricky to specify because even the simplest of questions may require data from two or more tables. Both the knowledge of the query language and the database structure is ...

How relational databases work. Excel’s organizational structure lends itself well to how databases work. A database is a collection of connected items (spreadsheet) that, when associated ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

Navigational databases offer exceptionally rapid data access in exchange for rigorous data structure requirements. This post is one of a series that introduces the fundamentals of NOSQL databases ...

Limitations in Structure: Many relational database systems impose limits on the lengths of data fields. If you enter more information into a field than it can accommodate, the information will be ...

"Our focus remains on startups, late-stage digital-native businesses and enterprises. We'll continue working closely with ...

Data continues to grow in volume, variety, and velocity, resulting in new data management technologies. Recently, Deepti Srivastava, product manager for Cloud Spanner at Google Cloud, discussed how ...

We look at how to gain structure from unstructured data, via AI/ML analytics to create new records, selecting object data via SQL and storing unstructured files in NoSQL formats.