A database that maintains a set of separate, related files (tables), but combines data elements from the files for queries and reports when required. The concept was developed in 1970 by Edgar Codd, ...

Data estates are expansive. Organizations in all business verticals are operating data stacks that run on a mixture of legacy technologies that work effectively but aren’t always easy to move or ...

MongoDB is disrupting the market with its document (NoSQL) database. This type of database is more flexible and scalable than traditional relational (SQL) databases. MongoDB's database allows ...

Have you noticed that relational "technology" seems to be taking a beating these days? With new “data models” and types of database systems purported to be better than relational, it seems that the ...

MongoDB is a leading provider of cloud native "non-relational" databases. The company beat top line growth estimates in the second quarter, and grew revenue by 53% year over year. MongoDB is poised to ...

In this module we will take a deeper look into the internals of DBMS software to better understand how it works. We will examine the role of the DBA (Database Administrator), the Data Scientist, the ...

Relational databases are a staple across industries, but graph databases offer different capabilities that may fit enterprise needs better. Graph databases are one of four popular NoSQL database types ...