Geospatial search and Spark in Datastax Enterprise

This post discusses using geospatial search in DataStax Enterprise (DSE) Search and with Apache Spark™ as part of DSE Analytics. It highlights the advantage of DSE allowing users to have one version of their data for both real-time access and specialized search queries, eliminating the need for ETL processes. An example project is provided on GitHub demonstrating how to load all postcodes in the UK with a longitude and latitude of their location, and how to query this data using geospatial searches. The post also explains how to connect to DSE data through Apache Spark using various methods such as CassandraTable method, CassandraConnector class, and Spark SQL. For more information, readers are encouraged to visit the DataStax Academy for tutorials, demos, and self-paced training courses.