{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/853d223449844708910d81247114457b\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/853d223449844708910d81247114457b-00001.gif","duration":732.7984999999998,"title":"OLAP Analytics Workflow on Databricks","description":"In this video, Bhavanishankar Sankara and Puja Shalman discuss the OLAP analytics workflow on Databricks. They cover topics such as blob storage, analytics workload, compute units, and connecting to MongoDB. They demonstrate how to read data from CSV files, perform average calculations, find top artists, and generate bar charts. The video provides valuable insights and instructions for implementing OLAP queries on Databricks."}