Scala Essential Training for Data Science
Scala Essential Training for Data Science
Electronic Video - 2017
Use Scala in your data science work. Explore the Scala features most useful to data scientists, including custom functions, parallel processing, and programming Spark with Scala.
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| 企業作者: | |
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| 格式: | 電子 影片 |
| 語言: | English |
| 出版: |
Carpenteria, CA
linkedin.com,
2017.
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| 主題: | |
| 在線閱讀: | View course details on linkedin.com/learning |
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| 520 | |a Use Scala in your data science work. Explore the Scala features most useful to data scientists, including custom functions, parallel processing, and programming Spark with Scala. | ||
| 511 | 1 | |a Presenter: Dan Sullivan | |
| 520 | |a Discover how to leverage Scala—the popular language that combines object-oriented design with functional programming—in your data science work. In this course, learn about the Scala features most useful to data scientists, including custom functions, parallel processing, and programming Spark with Scala. Dan Sullivan kicks off the course with an introduction for non-Scala programmers. Next, he describes how to use SQL from Scala—a particularly useful concept for data scientists, since they often have to extract data from relational databases. He then covers parallel processing constructs in Scala, sharing techniques that are useful for medium-sized data sets that can be analyzed on a single server with multiple cores. Dan also focuses on using Scala with Spark, a distributed processing platform. He first describes how to work with Resilient Distributed Datasets (RDDs)—a fundamental Spark data structure—and then explains how to use Scala with Spark DataFrames, a new class of data structure specially designed for analytic processing. He wraps up the course by providing a summary of advantages of using Scala for data science. | ||
| 538 | |a Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection. | ||
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