Beuth Hochschule für Technik Berlin

Management and Analytics on Geotemporal Data (MAGDa)
 
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What we do

Spatial Databases

Data integration plattforms for different domains (cadastre, architecture, facility management, open data). Relational vs. NoSQL solutions.

Examining Big Data Solutions

Distributed File Systems (Hadoop), Data Streaming (Spark), Data Analytics (Impala), In-Memory Databases (EXAsol).

Machine Learning on Sensor Data

Linear (e.g. ARIMA) and non-linear (e.g. ANN) time series analysis and prediction on sensor data with Python and R. Pattern recognition on moving data.

Interactive Web-based Data Visualization

2D/3D exploration of transportation data in your browser e.g. with D3, Three, Angular, Node

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