Which countries worldwide are currently showing significant improvements in their Covid-19 control progress? We take a look at the Coronavirus data analytics to identify and list down the top 9 Covid-19 recovering countries.
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.
In this article, we utilized the Big Data analytics dashboard of Covid-19 data analysis to analyze and gain insight into possible air-travel reactivation zones and routes for an effective Covid-19 airline recovery program.
The airline industry faces an unprecedented challenge like never before. Let’s take a look at the […]
Concept drifts in Time Series Data are crucial for analysis and machine learning. We discuss concept drifts and their implications for machine learning.
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 foundations of multi-dimensional Time Series Analysis from Data Warehousing OLAP.