If another programming language comes out -- C#, for example -- you can use that with object-oriented programming techniques. We don't have that in data integration." As Kuznetsov views it, DOP for ...

Microsoft's F# language geared to parallel programming, data-oriented problem-solving ...

The careers have been subjectively selected on: autonomy, helpfulness, whether many data-oriented people like the career, pay, offshoring- and automation resistance, and if it offers a decent ...

Students must learn data-oriented programming languages as well as statistical, database, and other software for presenting analyses. Data scientists typically need at least a bachelor's degree, but ...

Rather than implementing an object-oriented programming architecture, the Rust language offers modular programming support, using traits rather than classes.

ADO.NET, for example, won't give you objects (or, at best, will only give you a pseudo object like a DataTable). EF will, when joining tables, do clever things when creating objects when working with ...

Although Clojure lacks the extensive toolbox and analytic community of the most popular data science languages, R and Python, it provides a powerful environment for developing statistical thinking ...

The MAQ20 data acquisition and control system from Dataforth uses a Python Application Programming Interface (API), which employs an object-oriented approach for communicating with MAQ20 systems; ...

Service oriented architecture thinking will help organizations manage the Big Data boom with the flexibility and agility needed for it to be valuable to the business. That's the view of Steve ...