Data Access Shouldnʼt Require a Translator In most enterprises, data access still feels like a locked room with SQL as the ...

SQL has dominated data querying for decades. Newer query languages offer more elegance, simplicity, and flexibility for modern use cases. For the last three decades, databases and Structured Query ...

Kinetica, a relational database provider for online analytical processing (OLAP) and real-time analytics, is harnessing the power of OpenAI’s ChatGPT to let developers use natural language processing ...

In this course you will learn all about the Structured Query Language ("SQL".) We will review the origins of the language and its conceptual foundations. But primarily, we will focus on learning all ...

Databases are used in many different settings, for different purposes. For example, libraries use databases to keep track of which books are available and which are out on loan. Schools may use ...

Snowflake's approach unifies structured and unstructured data analysis within its platform by treating documents as queryable ...

Elasticsearch Query Language (ES|QL), Elastic’s latest offering that introduces a piped query syntax and supports concurrent processing, is being touted by the company as a major leap forward in data ...