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I'm new to spark and scala. I'm working on a project doing forecasting with ARIMA models. I see from the posts below that I can train ARIMA models with spark.

I'm wondering what's the advantage of using spark for ARIMA models?

How to do time-series simple forecast?

https://badrit.com/blog/2017/5/29/time-series-analysis-using-spark#.W9ONGBNKi7M

user3476463
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The advantage of Spark is a distributed processing engine. If you have a huge amount of data which is typically the case in real-life systems, we need such processing engines. It will benefit in terms of scalability and performance to use any algorithm not only ARIMA on platforms like Spark.

Neelesh Shukla
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