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 ...

Python makes it simple to integrate with both relational and non-relational databases, enabling you to build robust, data-driven applications. With connectors for SQLite, MySQL, PostgreSQL, and ...

The Saline, Michigan campus is huge. It will generate 1 gigawatt of electricity, making it one of the largest data centers in ...

Microsoft's Data API Builder is designed to help developers expose database objects through REST and GraphQL without building a full data access layer from scratch. In this Q&A, Steve Jones previews ...

During Google Cloud Next, Rubrik rolled out one announcement aimed at AI agent governance and another focused on cyber resilience for Google Cloud SQL.

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...

Tech executives explain how they're moving beyond legacy Excel mapping to build AI data pipelines that cut integration workloads by up to 40%.

Traditional ETL tools like dbt or Fivetran prepare data for reporting: structured analytics and dashboards with stable schemas. AI applications need something different: preparing messy, evolving ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you’ve ever built a predictive model, worked on a ...

SQL Server backups cannot be restored to older versions directly. Use Export and Import Data-Tier Application for cross-version database migration. Reconfigure permissions, logins, and connection ...