SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, ...

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 ...

SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale. One of the most fundamental choices to make when developing an ...

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 ...

NoSQL databases arose in response to the limitations of using SQL (Structured Query Language) for database queries. NoSQL databases store and manage data in ways that enable high operational speed and ...

Inside a relational database management system, the princi­pal persisted data structure is considered a logical relation. Operations performed against that data within the RDBMS result in a logical ...

A question asked about data contained in two or more tables in a relational database. The relational query must specify the tables required and what the condition is that links them; for example, ...

The Internet of Things is creating serious new security risks. We examine the possibilities and the dangers. Read now Fifty years ago, relational databases were neither ubiquitous nor standardized.

Every day, businesses depend on data to operate. Customer orders, quotes for new business, conversations around products, campaigns for marketing—pretty much every business process today is based on ...

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 ...