Make an Elasticsearch-powered REST API for any data with Ramses

Chris Hart's guide demonstrates how to create a REST API powered by Elasticsearch for any dataset, using the Gender Inequality Index (GII) as an example. The guide illustrates setting up the project using Ramses, an open-source tool similar to "backend as a service," which allows users to run their own server and access the internals. It involves downloading the GII data, setting up a schema, configuring endpoints, and using Elasticsearch query DSL for data querying. The API facilitates various data manipulations, such as sorting, filtering, and performing aggregations, to extract insights about gender inequality across countries. The guide also shows how to handle pagination, conduct full-text searches, and perform aggregations to compute statistics like the average global gender inequality. Additionally, the text provides technical instructions for setting up the environment, configuring the server, and using command-line tools to interact with the API, alongside offering support through a Gitter channel for further assistance.