ArcGIS Developer Bundle for Data Science Teams

Jan Tschada

Why Location Intelligence? <\/STRONG><\/P>Location Intelligence<\/STRONG> enables Data Science Teams to recognize spatial and temporal patterns<\/STRONG> that are often overlooked in traditional data analyses. This leads to deeper insights<\/STRONG> and more informed decisions<\/STRONG>. An example is urban city development<\/STRONG>, where movement patterns of people must be considered to develop effective solutions such as bikesharing programs.<\/P>What does the ArcGIS Developer Bundle offer? <\/STRONG> <\/P>The ArcGIS Developer Bundle<\/STRONG> combines powerful geo-analytical functions with Open Source AI\/ML libraries. It enables Data Science Teams to extend their existing workflows and develop customized solutions. By using Docker containers<\/STRONG> they can work in various development environments and adapt their technology stacks to specific requirements.<\/P>ArcGIS Enterprise<\/STRONG><\/P>ArcGIS Enterprise offers a robust architecture for managing and analyzing large volumes of data. It supports integration into existing business processes and automates data processing. This increases efficiency and quality in specialized data ecosystems.<\/P>ArcGIS Notebook Server<\/STRONG><\/P>This function server enables the development of models for machine learning and deep learning with notebooks. Over 1800 spatial analysis tools combined with Open Source Python libraries are available as Docker containers, creating a consistent and scalable development environment.<\/P>ArcGIS Knowledge Server<\/STRONG><\/P>Knowledge graphs enable Data Science Teams to detect hidden patterns and relationships, promoting deeper insights and more precise analyses. They offer a flexible data schema that easily adapts to new information and changing requirements. This increases the agility and adaptability of analyses.<\/P>ArcGIS GeoEvent Server<\/STRONG><\/P>By analyzing data streams, Data Science Teams can recognize relevant patterns and trends early, enabling proactive measures and optimizations.<\/SPAN><\/P>More information<\/STRONG><\/P>Data Science Teams can further inform themselves as follows:<\/P>Esri Deutschland Blog<\/STRONG>: <A href="https:\/\/arcgis.esri.de\/arcgis-developer-bundle-fuer-data-science-teams\/\