July 2017
Intermediate to advanced
796 pages
18h 55m
English
Content preview from Scala and Spark for Big Data Analytics
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Functional Scala for the data scientists
For performing interactive data cleaning, processing, munging, and analysis, many data scientists use R or Python as their favorite tool. However, there are many data scientists who tend to get very attached to their favorite tool--that is, Python or R and try to solve all data analytics problems or jobs using that tool. Thus, introducing them to a new tool can be very challenging in most circumstances as the new tool has more syntax and a new set of patterns to learn before using the new tool to solve their purpose.
There are other APIs in Spark written in Python and R such as PySpark and SparkR respectively that allow you to use them from Python or R. However, most Spark books and online examples ...
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