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Scala is useful in big data and ML, apache spark is written in it. It works very well for data transformations

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Even if you omit all the activity related to Spark and ETL, I see nothing but growth in libraries, frameworks, job openings, meetups and conferences.

mikert5671|7 years ago

I personally love the language, its rare to find a language that supports both object oriented and functional programming styles, while at the same time being able to access all the libraries available for java. Its definitely easy to shoot yourself in the foot given the complexity of the language, but if youre a senior engineer and dont need to worry about poor coding practices on your team, the functional abstractions are very powerful.

marcinzm|7 years ago

It is however the push recently in Spark seems to be for better/faster Python support more than anything else. Probably because Databricks makes it's money from it's hosted notebooks environment which caters more towards non-engineers (who in turn would be more put off by having to learn Scala I'm guessing).