nalyse-Lifecycle heterogener Informationen auf Basis von Hadoop und Visual Analytics

Abstract

Gaining an insight on the company’s mass of data was a common goal in the last few years. But information is growing exponentially and companies yearn for a data man-agement system that is able to work with heterogenic data from different sources. A possible answer is the Hadoop Data Platform. With its diverse components, it makes several ways of data management as a foundation for the analysis. The possibilities of Hadoop range from parallelized SQL-Queries to machine learning algorithms. Com-bined with a visual analytics tool you can gain a deep insight in your own data. This article illustrates an analysis lifecycle of the visual analytics tool Qlik with a connected Hadoop system using the example of European air quality data.