The four horsemen represent the four levels of problems faced by Big Data-driven enterprises. We look at these problems and ways to solve them.
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.
What are Data Science techniques, methods, tools and languages? We answer what Data Scientists do and which methods, tools, techniques and languages they use.
Big Data and Smartphone apps help to limit Coronavirus infection chains. Here we show the top 5 ways how smartphones and Big Data Science helps to fight the Coronavirus pandemic.
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.
Coronavirus apps enhance social distancing. We describe how to build privacy compliant Coronavirus Bluetooth tracking Apps with Blockchain and open standards.
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.