Google’s BigQuery database, for instance, is also integrated with some of Google’s machine learning tools to make it possible to explore the use of AI with the data that’s already stored on ...

With SQL databases, all data has an inherent structure. A conventional database like Microsoft SQL Server, MySQL, PostgreSQL, or Oracle Database uses a schema—a formal definition of how data ...

The most common SQL databases in manufacturing are Microsoft’s SQL Server and Oracle’s MySQL. (But this may be changing. See the “SQL or NoSQL” sidebar.) Historians. Production data, such as ...

SQL is used to declare the data to be returned, and a SQL query processor and query optimizer turn the SQL declaration into a query plan that is executed by the database engine. SQL includes a sub ...

With most structured business data, it’s important to have a database whereby IT professionals can generate reports, run SQL queries, or make use of the data in a logical, predictable way.

There are three classifications of data: structured, semi-structured and unstructured. While structured data was the type used most often in organizations historically, AI and machine learning ...

If your site's data is stored in a database -- for example, ... In most cases scripts use SQL (Structured Query Language) to retrieve specific sets of data from databases.

Offered via a software-as-a-service (SaaS) model, it also uses an SQL database engine to manage how information is stored in the database and process queries against virtual warehouses within the ...

Semi-structured data is here to stay, and it offers the potential for business advantage to companies that know what to do with it. Mark Whitehorn has advice on how to do that.

Unstructured data is stored in its native format, which means it lacks a pre-defined data model or schema and cannot be managed in a traditional relational database. This kind of unorganized data ...