“structured data”簡單造句，structured data造句子

Thanks to the cloud and Hadoop, it is now possible to handle large amounts of structured or unstructured data in a timely manner.

Unlike structured data, these documents can have many degrees of freedom in the order of document elements and the way those elements are nested within each other.

One use for classes is as containers for structured data.

Call it structured data if you like, I call it a surefire recipe for making a bad dog buying decision.

This format is simple, concise, retains all the information of earlier formats, retains structure well, yet it is still flexible enough for the semi-structured data.

If you have a solution that lets you store semi-structured data, you can also use it to store structured and unstructured data.

An enterprise search system provides extensive capabilities for searching any number of structured and unstructured data sources with a single point of access.

For illustration, I built a DB2 structured database from a subset of the IMDB content, and included the trivia as text fields in this database.

We're as excited as anyone about the future of creating structured data from the sea of information online, but Google Squared isn't very inspiring so far.

The XML Integrator (XI) Engine is a tool for converting data between XML and structured data formats such as relational or LDAP data.

Related to the above, structured data will be a big trend next year - see our post on Google's structured data play from September this year.

For simple applications, it will let you save and load structured data in just a few lines of code.

We could include other evidence for a connection by either including additional structured data, such as database tables that show which people worked together on movies, or by deeper text analysis.

I would guess that what 80% of all the programmers who deal with XML documents really want is just a way to grab the data and easily manipulate it as structured data.