-
-
-
-
URL copied!
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
Top Authors
VP Engineering and Global Security Practice Head
Associate Vice President, Marketing
Associate Vice President, Technology
Let’s Work Together
Related Content
If You Build Products, You Should Be Using Digital Twins
Digital twin technology is one of the fastest growing concepts of Industry 4.0. In the simplest terms, a digital twin is a virtual replica of a real-world object that is run in a simulation environment to test its performance and efficacy
Learn More
How Smart Cars Will Change Cityscapes
Which technologies do we need to improve the quality of life for people in the city and make governance more effective? What role does a car play in the city of the future, and how can it make traffic safer? GlobalLogic’s engineers are already working on solving these issues.
Learn More
Share this page:
-
-
-
-
URL copied!