It can be applied to any dataset assumed to have some underlying mathematical structure, Zhang says. Time-series data are useful for studying the spread of disease or the behavior of financial ...

This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is a time series database? Time series databases are designed to ...

Enforce a rigid structure for labels and cannot accommodate unstructured data. Require scheduled jobs for cleaning up old data. Are used for multiple use cases. Overuse of running time-series ...

With Google having just announced its Cloud Inference API to uncover insights from time series data, it's a good time to check the options for processing time series data. A time series is a ...

That’s the number of IoT-connected devices expected by 2025, and each of those devices will create its own stream of data. In this new landscape, it’s not hard to see why time series data is ...

This can be particularly time-consuming and data-intensive because of the time series nature of market data. In the investment industry, time series data is a sequence of data points, such as a ...