Time Series: Data Analysis & Forecasting

Time series technologies and tools are driving innovative new applications for statistical analysis, and many of these are open source. Keeping up with the tech stack required to analyze massive amounts of time series data at scale has become imperative, whether that means engineering a new purpose-built database or upgrading an older one to suit.

In this paper, explore the building blocks of time series analysis, various characteristics of different types of time series, challenges in storing time series data, and different methods of visualization. Learn how analysts are applying time series data analysis to everything from predicting server outages to forecasting growth in GDP for a budding economy.

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Time-Series--Data-Analysis-and-Forecasting

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Amit Gupta

Senior Consultant

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Time-Series--Data-Analysis-and-Forecasting

Author

Akshit Bansal

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Amit Gupta

Amit Gupta

Senior Consultant

Sameer Tikoo

Sameer Tikoo

Senior Vice President & GM, Communication Services BU

Orkhan Gasimov

Orkhan Gasimov

Head of CEE Technology Office, Director

Volodymyr Trishyn

Volodymyr Trishyn

Senior Software Engineer

Viktor Klymenko

Viktor Klymenko

Consultant

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