When a conversation turns to analytics or big data, the terms structured, semi-structured and unstructured might get ... using Structured Query Language (SQL)—a programming software language ...

Four key considerations to keep in mind when you need a database designed for analytical queries of vast quantities of time series data. SQL often ... semi-structured or unstructured data ...

SQL Server has introduced PolyBase with its 2012 iteration that promises to tie unstructured big data with its relational counterparts. Oracle has its own NoSQL database and a fully configured ...

There are lots of questions about unstructured ... data that is organized in a structure so that it is identifiable. The most universal form of structured data is a database like SQL or Access.

Snowflake’s focus on unstructured data is driven by the firm’s plans for agentic AI. That became clearer in February when the ...

“What’s on your ... addressing. “SQL is sexy again,” smiled Wilkinson, who added that one of the key trends they see in the market is a lot of momentum and noise around unstructured ...

Commentary - Big data, unstructured data ... screens with boxes and using a preconceived workflow instead of SQL queries? It’s primarily because an enterprise’s content is diversified versus ...

SQL databases ... a large volume of data, and you don’t want to lock yourself into a schema, as changing the schema later could be slow and painful. You’re taking in unstructured data from ...

While some of the data is well-organized in structured databases like Oracle or SQL ... of unstructured data — and the troubling unknowns about the nature and risk associated with what's ...

Learn More The SQL query language ... not just about a single data source, but multiple data sources. It could be a web search, AlloyDB or other enterprise unstructured data.