A slowly changing dimension occurs naturally in time-series data. This article introduces the topic of slowly changing dimensions.
Master data is not usually the first thing data scientists talk about, but it should. Here's what you should know about master data.
Time Series Forecasting algorithms play a role in determining trends, forecasting, and sales. This makes time series analysis crucial for any organization.
Third party data from already existing apps is a shortcut for Coronavirus geotracking. We discuss which companies have data and discuss different integration solutions.
Coronavirus geotracking Apps of GPS and WiFi Signals, Time Series Databases and Analysis can be used to break infection chains. We show how it works and which privacy possibilities exist.
Mobile providers have data which cell towers are received by a smartphone. With Big Data Analytics this data can give insights if most people stay home to optimize controls and restrictions.
We discuss how mobile provider Big Data and Time Series Database based Analysis can support the containment of Covid-19 and reveal an concrete implementation guide.
Time Series Databases - The super Dragon. They score with massive paralell scaling and defeat Data Warehouses. They burn the relational competition away with special Time Series query capabilities.
Open source Time Series Databases (TSDB) essential for Big Data Analysis. We compare the shortcomings of Data Warehouses and relational Databases to TSDBs.
What are Time Series Data Models and Time Series Analysis? We compare Time Series Data Models to ordinary relational and more sematic data models.
Time and viewpoint of the same the object reveal different insights Multi-dimensional Time Series Analysis supports changing viewpoints. Here we see an example based on the italian city Matera
80% of Data Science work is information preparation. We describe the foundations of multi-dimensional Time Series Analysis from Data Warehousing OLAP.
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