Geospatial Data Lake

Geospatial data is used to describe collective information about objects, events, or other features along with geographic or location components. Traditionally, companies use Enterprise Data Warehouses (EDWs) to store data from multiple sources using various data integration services. This requires complex data transformations and conformed data models. Companies must invest a significant amount of time and effort to achieve these. Compute and storage improvements over the years allow the capturing and sharing of any amount of geospatial data at any velocity. Geospatial data is collected in many ways and stored in different formats. Modern geospatial data products and applications require agile approaches and faster time to market. Data Lakes allow us to store both structured and unstructured geospatial data at any scale in a centralized repository. They are designed for low-cost storage and analytics that allow you to collect, process, store, and serve both vector...