In any data operations, including those that involve JSON files, an ETL method is needed to upload, process, and store JSON and other related data. The Panoply JSON integration makes it easy to extract JSON data, combine it with all your other data sources, and store it in one secure location. Panoply AI-driven data pipeline speeds and manages the entire process on the only enterprise-level cloud service that combines an automated ETL with a data warehouse.
Mode Analytics makes it easy for analysts collaborate and to analyze data in SQL, R, and Python. Mode’s analyst-friendly workflow allows you to query Panoply in SQL then perform complex analytics in R and Python without changing tools. Mode also outputs to Slack for sharing and team collaboration. You can do more faster in Mode with the Panoply one-click integration. The Panoply all-in-one ETL tool expands Mode’s data processing capabilities by uploading data from any source. Panoply saves prep work time because it automatically sorts, processes, and stores all data types in one place. This fully cloud-integrated ETL pipeline continuously streams your latest cleaned data from source to output. So your charts, dashboards, and reports always display the most relevant analytics.