Lysander, N.Y. – On 120 acres of vacant land in suburban Lysander, a well-known Onondaga County developer plans to build a data center that could consume as much electricity as roughly 200,000 average ...

Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

┌─────────────────┐ │ Data Sources │ (CRM, ERP Systems) └────────┬────────┘ │ ┌─────────────────┐ │ Bronze Layer │ Raw, unprocessed data │ (bronze.*) │ - Exact copy of source ...

Today’s AI-first environment is pushing traditional enterprise data architectures to a breaking point. Organizations store critical business information across fragmented systems, with data warehouses ...

Aurora has temporarily paused the approval of data center and warehouse proposals to give staff the chance to create new guidelines around these types of developments. The temporary moratorium was ...

JESSUP — The rapid rise of data center proposals in the Midvalley continues as a West Conshohocken developer looks to change its plans from a warehouse to a nearly 500,000-square-foot data center on ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Fill in the blank for the Contoso cloud scenario. A(n) [?] helps organizations get the most ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The AWS Certified Data Engineer Associate exam validates your ability to design, build, and ...

Traditional data warehouses—once the backbone of business intelligence and reporting—are increasingly misaligned with today’s data demands. The surge in data volume, velocity and variety has exposed ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...