Explore why modern data lakehouses slow down at scale and how metadata growth, small files, partitioning, and maintenance ...
Introduction As datasets grow, processing them efficiently on a single machine can become challenging due to limitations in ...
Lower cost, predictable at scale. Databricks separates storage and compute on cloud object storage, with serverless scaling ...
NRR is easy to inflate by accident. Runnable SQL for net and gross revenue retention, the retention bridge, a monthly trend, ...
For the past few years, AI-assisted database development has followed a fairly comfortable model. A developer describes a ...
An agent embedded in a mobile app or a field device needs to run locally and reconcile with the rest of the system once ...
The theme for this time is SQL "execution plans."Execution plans are one of the technologies you absolutely must understand when considering database performance.However, this content might also be a ...
Spatial SQL and spatial joins are now supported in Lakehouse//RT and can run up to 38x faster than traditional data ...
When operating web applications or business systems for many years, the 'database (DB) performance degradation problem' is ...
Today, we are announcing the general availability of DiskANN Vector Index & Search across Azure SQL Database, Azure SQL Managed Instance with the always-up-to-date update policy, and SQL database in ...
Woo! I’m posting this live from the first ever European SQLCon (joint conference with FabCon EU), and the second ever SQLCon. The energy here is great, as the community comes together in Barcelona and ...
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