Introducing Microsoft SQL Server 2019 by unknow

Author:unknow
Language: eng
Format: epub
Publisher: Packt Publishing Pvt. Ltd.
Published: 2020-04-16T00:00:00+00:00

Note

You should always implicitly declare your data types as you work with various languages, especially since data science involves statistical formulas, and even a small difference in data types can completely throw off a calculation – and you don't always get a warning that the data is unreliable. Make sure you CAST or CONVERT the data into exactly what each language understands as you pass the data back and forth.

Java and machine learning in SQL Server

The Java language and processing platform is a cross-platform, sandboxed, general-use, object-oriented programming language. SQL Server 2019 introduces the Java environment to the external libraries you have available to your code.

Although Java isn't commonly associated with machine learning the way R and Python are, it is used in many big data processing systems and for general processing tasks. That isn't to say it's not used at all in machine learning; in fact, there are several libraries you can load for machine learning in Java. It is, however, well-suited for certain data processing tasks, such as extracting n-grams for natural language processing, calling out to a blockchain tag for inclusion in the machine learning process, and so on.

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