In recent years, frameworks and architectures have arrived on the programming scene that attempt to hide (or completely remove) the use of SQL and relational databases allowing developers to focus ...

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 ...

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 faster, you ...

SQL stands for ‘Structured Query Language’. This is basically a declarative language used for storing and retrieving data in a database. If you’ve heard of SQL, it’s probably in the context of MySQL, ...

Since the rise of the Web, SQL-based relational databases have been the dominant structured storage technology behind online applications. The past few years have seen the emergence of the cloud as a ...

Indexing is a critical part of database optimization. Indexing can dramatically increase query speed. However, DBAs still struggle with finding optimal indexes or optimal SQL plans. DBTA held a ...

SQL is about as easy as it gets in the world of programming, and yet its learning curve is still steep enough to prevent many people from interacting with relational databases. Salesforce’s AI ...

If you want to know what’s what in Big Data analytics today, you’ve got to know the basics of NoSQL databases, and how appropriate NoSQL databases facilitate Big Data analytics. What are the most ...

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 development of database technology is one of the defining achievements of the information technology era. It not only has been the key to dramatically improved record-keeping and business process ...