Four key considerations to keep in mind when you need a database designed for analytical queries of vast quantities of time series data. SQL often struggles when it comes to managing massive amounts ...
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 ...
PolyBase, a data virtualization feature for SQL Server, allows users to seamlessly query data from various external sources directly using T-SQL (Transact-SQL) without the need for separate client ...
With SQL Server 2016, it now makes sense to store JSON objects in your database (even though there’s no JSON datatype). Here’s how to query JSON properties to find the rows you want. It’s not unusual ...
AI has transformed the way companies work and interact with data. A few years ago, teams had to write SQL queries and code to extract useful information from large swathes of data. Today, all they ...
Ahana Cloud for Presto turns a data lake on Amazon S3 into what is effectively a data warehouse, without moving any data. SQL queries run quickly even when joining multiple heterogeneous data sources.
From AI-driven attacks to cutting-edge vector search capabilities, 2026 is redefining how we secure, optimize, and manage SQL databases. New SQL Server features, evolving threat landscapes, and modern ...
Hosted on MSN
Level up your SQL game for real-world impact
From query optimization to AI integration, SQL skills are adapting to meet the needs of modern analytics and engineering. Techniques like indexing, joins, and AI-driven insights improve performance ...
Arlington, Virginia-headquartered Kinetica, a company providing an analytic database to unlock value from spatial, time-series and temporal data, today announced an integration with OpenAI’s ChatGPT.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results