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.
Top 5 ways how Smartphones and Big Data help to fight the Coronavirus
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.
A privacy compliant Bluetooth App concept to track Coronaviurs infections with a Blockchain in the backend.A process, consisting out of various steps is shown. 1. Two smartphones exchange secrets and IDs. 2. Hashes are build. 3. The hashes get stored in a local database. 4. One user gets sick and is infected with the Coronavirus. 5. The sick users hahed data gets upload into a peer to peer network, a database or a blockchain. 6. The paried second user from the beginning downloads the dataset of the Coronvarius sick person. 7. The helathy person controls the record with the local smartphone database when the potential infected person was met. 8. The smartphone of the helathy person shows an alert with the potential infection details.
Coronavirus apps enhance social distancing. We describe how to build privacy compliant Coronavirus Bluetooth tracking Apps with Blockchain and open standards.
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 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.
Procuring my very own shell was similar to uncovering, and appreciating, the value of Big Data Analysis; this shell origins from an ocean of artifacts, and the value of Big Data ocean is an ocean of data. Data scientists’ casts their own lift nets, just like these fishermen with their large nets....
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Twitter Analyse der Bundestagswahl Teil 3: TV Duell, Fünfkampf, Spitzenkandidaten, Effekte “Was bringt das TV Duell […]
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