A slowly changing dimension occurs naturally in time-series data. This article introduces the topic of slowly changing dimensions.
Concept drifts in Time Series Data are crucial for analysis and machine learning. We discuss concept drifts and their implications for machine learning.
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.
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