If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, ...

NoSQL databases (also called “Not Only SQL databases”) may be a better fit than relational databases if you face one or more of these concerns: The data has little, or inconsistent, structure ...

I did not need actual data; an empty copy of the latest database would suffice. I could easily add a few test records for the demonstration after installing the database on my laptop. I created a copy ...

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 ...

Remember when SQL developers felt threatened by Big Data? Relational database management systems were old-school relics that couldn't cope with the vast amounts of unstructured, disparate data. NoSQL ...

The ease and ubiquity of SQL have even led the creators of many “NoSQL” or non-relational data stores, such as Hadoop, to adopt subsets of SQL or come up with their own SQL-like query languages.

For technical clarification, databases come in two flavors: relational and non-relational. Relational (SQL) databases store data in tables with strictly-defined relationships between tables.

Relational SQL databases, which have been around since the 1980s, historically ran on mainframes or single servers—that’s all we had.If you wanted the database to handle more data and run ...

DBTA recently hosted a webinar sponsored by AWS, titled “Using Your Existing SQL Skills to Shape Data for NoSQL,” featuring speaker Robert McCauley, specialist solutions architect at Amazon Web ...