The rise of new data types is leading to new ways of thinking about data, and newer data storage and management technologies, such as Hadoop, Spark, and NoSQL, are disruptive forces that may ...

“All the RDBMS players already extend themselves beyond traditional relational-model databases to support different unstructured data and columnar formats,” said Soumendra Mohanty, executive VP and ...

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

For over two decades, Oracle, IBM, and Microsoft relational databases were the only consistent leaders in the Gartner Magic Quadrant for Operational Database Management Systems--and there were few ...

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 ...

Object-oriented datasets are not necessarily standalone databases or replacements for relational databases. They are database management systems that serve as a complement or enhancement to ...

Relational Databases. Relational databases became the database of choice across business and industry in the 1980s. This database approach is based on work done by Dr. E. F. Codd at IBM in the late ...

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 ...

Topics in relational database systems include data modeling; the relational model; relational algebra; Structured Query Language (SQL); and data quality, transactions, integrity and security. Students ...

This course provides students with in-depth knowledge for modeling, designing, implementing, and managing database systems for operational and decision support purposes. Topics covered include ...