📊 Cube — The Semantic Layer for Building Data Applications.
The Universal Semantic Layer.

Build trust with a semantic layer. Connect siloed data, define consistent metrics, and power AI and analytics with context.

Cube is the semantic layer for building data applications. It helps data engineers and application developers access data from modern data stores, organize it into consistent definitions, and deliver it to every application.

Cube was designed to work with all SQL-enabled data sources, including cloud data warehouses like Snowflake or Google BigQuery, query engines like Presto or Amazon Athena, and application databases like Postgres. Cube has a built-in relational caching engine to provide sub-second latency and high concurrency for API requests.

• Cube @ GitHub.
• #264.exe - GraphQL: Votre nouveau BFF par Christophe Blefari @ <ifttd>.
• le semantic layer va vous plaire @ Florent J.'s LinkedIn :fr:.

BigTesty: integration testing for BigQuery.

BigTesty is a framework that allows to create Integration Tests with BigQuery on a real and short-lived Infrastructure.
Integration and End-to-End tests are a robust way to validate if SQL queries work as expected.
There is no an emulator in this case and the queries are executed directly in the BigQuery Engine.

• BigTesty @ GitHub.
• BigTesty: Integration Testing library for BigQuery @ GCP Learning with Mazlum & GroupBees' YouTube.