Abstract: Azure SQL DB offers disaggregated storage architecture called Hyperscale. While this architecture provides storage scale out, it comes at the cost of performance of I/O from remote storage.
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 ...
When running dbt in an Azure Devops Agent (for continues integration reasons) I get this warning: 09:13:52 Concurrency: 6 threads (target='test') 09:13:52 09:13:53 databricks-sql-connector adapter: ...
The recent “HITS in the cloud” webinar, hosted by Altron Digital Business and Microsoft South Africa, had a single message: SQL Server remains at the centre of enterprise operations. SQL is ubiquitous ...
Hi team/ maintainers, I love the work you're doing on Data API Builder. We’ve adopted it in different areas because it gives us a unified, secure, and standards-based API layer on top of multiple data ...
Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight. In the fast-evolving landscape of enterprise data ...
We’re excited to announce a new migration capability in Azure Arc to simplify and accelerate SQL Server migration. This new capability, now generally available, is powered by Azure Database Migration ...
Microsoft has rolled out a redesigned continuous migration assessment tool for SQL Server enabled by Azure Arc. The new experience is now generally available and brings a more streamlined, ...
Databricks launched Lakebase today, a new database designed for enterprises and developers to build data applications and artificial intelligence agents on a single multi-cloud platform. Lakebase is ...
Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...
As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...