Robert Leonard, Opto 22 (top left), David McCarthy, TriCore (center), Travis Cox, Inductive Automation (top right), Roger Herrscher, Opto 22 (bottom left), Chirayu Shah, Rockwell Automation (bottom ...

Many embedded applications require a database of sorts, but the type can vary widely from ISAM (Indexed Sequential Access Method) to SQL (structure query language). While SQL is readily available on ...

Relational databases and SQL were invented in the 1970s, but still dominate the data world today. Why? Relational calculus, consistent data, logical data representation are all reasons that a ...

Structured data stored in relational databases has ruled the world for the last 40 years. Over that time, Structured Query Language (SQL) emerged as the standard for accessing and manipulating data ...

One of the critical decisions facing companies embarking on big data projects is which database to use, and often that decision swings between SQL and NoSQL. SQL has the impressive track record, the ...

In the beginning, there were files. Later there were navigational databases based on structured files. Then there were IMS and CODASYL, and around 40 years ago we had some of the first relational ...

This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is a document store database? Document stores accommodate data that has a ...

Many industries are now adopting NoSQL database technology for crucial business applications, replacing their relational database deployments to gain flexibility and scalability. This vendor-written ...

Good old-fashioned SQL still rules the database roost, though popular offerings in the NoSQL camp are closing the gap, while MySQL is the most popular of the whole bunch. The new 2019 Database Trends ...