In “The end of SQL and relational databases? (part 1 of 3)” I covered some background on the SQL language and relational databases, the current and future for relational databases, the rise of ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Relational databases and the software that access them can be invaluable tools to businesses. Popular relational database management systems include Microsoft SQL Server, Oracle Database, as well as ...

Even with all the hype around NoSQL, traditional relational databases still make sense for enterprise applications. Here are four reasons why. Dave Rosenberg Co-founder, MuleSource Dave Rosenberg has ...

Forbes contributors publish independent expert analyses and insights. I decode analytics for business people. The evolving landscape of NoSQL databases and NoSQL database management systems (NoSQL ...

Transactional cloud databases come in all shapes and sizes, from simple key-value stores to planet-scale distributed relational databases. Here’s how to choose the right cloud database for your ...

Software architects face an important technical problem when they must decide how to best interact with backend database systems. The decision often comes down to the Hibernate vs. JDBC debate, as the ...

Relational databases, once the epitome of data management technology, are becoming increasingly archaic as single servers lack the nuance to support the large quantities of data generated by modern ...

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 ...

The road to SQL started with Dr. E.F. Codd’s paper, “A Relational Model of Data for Large Shared Data Banks“, published in Communications of the ACM in June 1970. His colleagues at IBM, Donald ...