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RRDtool has a graph function, which presents data from an RRD in a customizable graphical format. RRDtool (round-robin database tool) aims to handle time series data such as network bandwidth, temperatures or CPU load. The data is stored in a circular buffer based database, thus the system storage footprint remains constant over time.
Time series datasets can also have fewer relationships between data entries in different tables and don't require indefinite storage of entries. [6] The unique properties of time series datasets mean that time series databases can provide significant improvements in storage space and performance over general purpose databases. [6]
PowerShell is a task automation and configuration management program from Microsoft, consisting of a command-line shell and the associated scripting language.Initially a Windows component only, known as Windows PowerShell, it was made open-source and cross-platform on August 18, 2016, with the introduction of PowerShell Core. [5]
X-13ARIMA-SEATS, successor to X-12-ARIMA and X-11, is a set of statistical methods for seasonal adjustment and other descriptive analysis of time series data that are implemented in the U.S. Census Bureau's software package. [3]
Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to predict future values based on previously observed values. Generally, time series data is modelled as a stochastic process.
Graphite is a free open-source software (FOSS) tool that monitors and graphs numeric time-series data such as the performance of computer systems. [2] Graphite was developed by Orbitz Worldwide, Inc and released as open-source software in 2008. [3] Graphite collects, stores, and displays time-series data in real time. The tool has three main ...
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Data exhaust or exhaust data is the trail of data left by the activities of an Internet or other computer system users during their online activity, behavior, and transactions. This is part of a broader category of unconventional data [ 1 ] that includes geospatial, network, and time-series data and may be useful for predictive analytics .