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 ...

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 ...

The Central Provident Fund (CPF) is a key pillar in Singapore’s national social security system. The CPF system serves more than 4 million CPF members by providing a foundation in retirement, through ...

On Thursday, Microsoft’s Azure Quantum group announced that it has settled on a plan for getting error correction on quantum computers. While the company pursues ...

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 ...

A certain database table has multiple fields, each storing an email address, which may be null or duplicated. In a database/computing platform that supports functions such as array, for example, in ...

I’m encountering an issue while reformulating SPARQL queries into SQL using a SPARQL endpoint. It appears that there may be some optimization applied by the endpoint when generating SQL for Databricks ...