Time Series: Data Analysis & Forecasting

Categories: AI and MLBig Data & AnalyticsConsumer and RetailManufacturing and IndustrialTechnology

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.

Authors

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

Author

Amit Gupta

Senior Consultant

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

Author

Akshit Bansal

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Top Authors

Tomasz Walis-Walisiak

Tomasz Walis-Walisiak

Senior DevOps Engineer

Miguel Ribeiro

Miguel Ribeiro

Senior Data Scientist

Jonathan Hill

Jonathan Hill

Senior Data Scientist

Surbhi Nijhara

Surbhi Nijhara

Principal Architect

Ben Wilson

Ben Wilson

Data Scientist

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