As a budding data analyst, I recognize the pivotal role that structured query language (SQL) plays in the world of data. SQL is the language of databases, empowering analysts to extract valuable ...

According to the TIOBE index you’re more likely to overhear a Java, PHP, Python, Perl or Ruby developer riffing on an idea for a new web startup, than, let’s say, a PL/SQL developer ...

SQL, or Structured Query Language, is a powerful tool for managing and querying data in relational databases. But SQL alone is not enough to perform complex data analysis tasks that require data ...

Here’s a quick look at some popular JavaScript frameworks: So, yeah, JavaScript is still a pretty good choice to learn in ...

Contrary to a programming language, SQL has no few significant aspects like: variables, loops and conditional statements, which are required for doing complex computational operations. SQL being built ...

SQL history. Before there was SQL, databases had tight, navigational programming interfaces, and typically were designed around a network schema called the CODASYL data model. CODASYL (Committee ...

For a person using large data sets at work, it is crucial to know about data modeling in SQL and its practices to design databases that can quickly process the data at hand. This article will focus on ...

Learn how to use programming languages to improve scalability and performance in your database design. Explore techniques such as sharding, caching, and indexing.

As an example, SQL was the first programming language to return multiple rows per single request. This makes it easier to get data on what is taking place within a set of data—and consequently ...

According to the TIOBE index you’re more likely to overhear a Java, PHP, Python, Perl or Ruby developer riffing on an idea for a new web startup, than, let’s say, a PL/SQL developer. Programming ...