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

The relational model was first proposed as an alternative to the hierarchical model by IBM researcher ... The object-oriented data modeling technique is a construction of objects based on real ...

The most popular database model format is relational, which stores data in fixed-format records and organizes it into tables with rows and columns. The most basic data model has two components ...

Data modeling does not excite passion within programmers. Your average Java or Python developer probably doesn’t even realize that they are doing it when they write programs, in great part ...

Database model and metadata documentation from various types, including relational, NoSQL, Microsoft SQL Server, MySQL, big data, file-based systems, business intelligence and ETL sources Advanced ...

Object databases are also suited for applications that are not necessarily based on an object model, but use a large number of in-memory indexes that are difficult to store in a relational database.

Coverage includes the data modeling process, basic relational model, normalization theory, relational algebra, and mapping a data model into a database schema. Structured Query Language is used to ...

Data modeling (or schema design) is in fact more important when dealing with NoSQL than it was with relational databases. We just need a different kind of data modeling than in the past.

Microsoft Research has had 7,000 downloads of its Comega programming technology, which is intended to bridge the gap between relational, object, and XML data models. Comega, or Cω, is described ...

Instead of upfront modeling, before any code is written, as is common in the relational world, big data modeling is sometimes performed based on application queries in program code or tools. What we ...