Time Series Analysis in Stock trading
Time Series Forecasting algorithms play a role in determining trends, forecasting, and sales. This makes time series analysis crucial for any organization.
Big Time Series Data Applications crucial in enterprise digitization. Here, we discuss the 5 top known Time Series Applications as well as some use cases.
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.
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.