CDU candidate Stefan Wedegärtner placed third with 16.3%, followed by the FDP's Alexander Stuckenholz (10.7%), independent Eva Holzhauer (3.7%), and Christian-Social Reformers candidate Christopher Krüger (2.3%). In the most recent mayoral election on 13 and 27 September 2020, Hasenberg advanced to the runoff with 46.9% of votes against Karen Haltaufderheide of The Greens, who won 20.1%.
The current mayor of Wetter is Frank Hasenberg of the Social Democratic Party (SPD) since 2007. The reservoir between Wetter and Herdecke, Harkortsee, and the highest mountain in the area, Harkortberg, were both named after him.ĭue to the lowering bombardments in 1944/45, during the second world war, the town became the domicile of the Reichsgau south-Westfalia, originally residing in Bochum. Thus he did not just develop education and social policy but also laid the cornerstone of the early industrialization of the Ruhr area and Germany. In 1819 Friedrich Harkort founded the first industrial workshop at Castle Wetter, producing steam engines and gas light equipment. The castle is located on the other side of the Ruhr in the district of Volmarstein which has been part of Wetter since the municipal community-reform in 1970. Another famous castle ruin is the Castle Volmarstein which was built in the 11th century by the archbishop of Cologne Frederick I. The use of an OpenSource technology makes it possible to save significant licensing costs compared to classic commercial database offerings.The town of Wetter is first documented in the year 1214 in relation with the Castle Wetter and the knights Bruno and Friedrich. The use of Hadoop brings the following advantages here:Īs the amount of data grows, simple and inexpensive scaling of the system by adding new compute nodes to the cluster. For this purpose, both the imports of the different weather models and the exports of the data updates for wetter.at use Hadoop Map-Reduce jobs to execute the creation of the current weather forecasts for all of Austria and Germany on the Hadoop cluster in parallel. This makes it possible to retrieve worldwide weather forecasts interactively or to export current weather forecasts for the whole of Austria and Germany for the above-mentioned websites. However, these queries are not used to export data, but are used for interactive data quality control by MOWIS.Īcceleration and cost savings compared to legacy SQL database.īy switching to a Hadoop-based NoSQL solution, an additional forecast model for worldwide weather data could be introduced, as well as data imports as well as exports accelerated by a factor of seven. Furthermore, using Apache Hive, SQL access to the data was enabled, allowing flexible queries to the stored location data. An xml-based interface allows data to be retrieved by web-based services. In addition, data already retrieved is cached to further speed up queries. The system dynamically selects the most suitable database for each forecast and combines data from different sources. This makes it possible to interactively retrieve weather forecasts worldwide up to fourteen days in advance. Current weather data from various sources, such as the results of various weather forecast models as well as measured values from weather stations, are continuously fed into this database. The central component is the NoSQL database HBase, which is based on a Hadoop cluster. The system has been continuously maintained and further developed as needed since 2011.
Wetter deutscheland software#
The central data management system for these services was developed by RISC Software GmbH on behalf of MOWIS. Mobile World Information Systems GmbH (MOWIS) provides weather data services, including operating the wetter.at and websites.
Reliable and accurate weather forecasts are essential for planning personal leisure activities as well as for numerous companies and organizations.
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