We look at how to gain structure from unstructured data, via AI/ML analytics to create new records, selecting object data via SQL and storing unstructured files in NoSQL formats.

I have a need to compare multiple different versions of essentially the same SQL Server 2005+ databases and bring the table structures up to that which is in the newest version. It should compare ...

Ahana Cloud for Presto turns a data lake on Amazon S3 into what is effectively a data warehouse, without moving any data. SQL queries run quickly even when joining multiple heterogeneous data sources.

So, with these non-SQL formats, potentially any data in any existing format, ie unstructured, can be provided with a structure – schema-on-read – as data is queried.