Time Series Analysis with Spark: A practical guide to processing, modeling, and forecasting time series with Apache Spark
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Time Series Analysis with Spark: A practical guide to processing, modeling, and forecasting time series with Apache Spark

by Yoni Ramaswami

Technology Programming statistics Data Science
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Explore practical methods for processing, modeling, and forecasting time series with Apache Spark. This guide presents a focused introduction to applying Spark in time-based data workflows, making it useful for readers interested in scalable data analysis, statistical modeling, and predictive forecasting.

About This Book

Time Series Analysis with Spark introduces practical approaches to working with time-based data using Apache Spark.

The book focuses on processing, modeling, and forecasting time series in a scalable computing environment.

It is intended for readers seeking guidance on applying Spark to time series analysis workflows.

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I will be using this book for: