This project intends to document requirements and referential material about the semantic layer (e.g., metrics, business rules) in the perspective of data engineering on a modern data stack (MDS).
Even though the members of the GitHub organization may be employed by some companies, they speak on their personal behalf and do not represent these companies.
- Data Engineering Helpers - Knowledge Sharing - Data products
- Data Engineering Helpers - Knowledge Sharing - Data contracts
- Data Engineering Helpers - Knowledge Sharing - Data quality
- Data Engineering Helpers - Knowledge Sharing - Architecture principles
- Data Engineering Helpers - Knowledge Sharing - Data life cycle
- Data Engineering Helpers - Knowledge Sharing - Data management
- Data Engineering Helpers - Knowledge Sharing - Data lakehouse
- Data Engineering Helpers - Knowledge Sharing - Metadata
- Data Engineering Helpers - Knowledge Sharing - Data pipeline deployment
- Title: Analytics Heroes by Modern Data 101 with Matthew Weingarten
- Date: Jan. 2025
- Author: Matt Weingarten (Matt Weingarten on LinkedIn, Matt Weingarten on Medium)
- Hosted by: Abhyudai Verma (Abhyudai Verma on LinkedIn)
- Link to the article on LinkedIn: https://www.linkedin.com/posts/modern-data-101_matt-analytics-heroes-slider-activity-7291045398675181568-RGye
- Link to the introduction on Modern Data 101:
https://www.moderndata101.com/analytics-heroes/matthew-weingarten
- Link to the video on Youtube: https://youtu.be/ZYWMGMgoyYw
- Title: Metrics-Focused Data Strategy with Model-First Data Products
- Authors: Animesh Kumar, Shubhanshu Jain, Samadrita Ghosh, and Nikhil Singh
- Date: 28 March 2024
- Article on Substack: https://moderndata101.substack.com/p/model-first-data-products
- Title: Semantic Layers: A Buyers Guide
- Authors: David Jayatillake and Rohan Thakur
- Date: 25 March 2024
- Link to the article on Substack: https://davidsj.substack.com/p/semantic-layers-a-buyers-guide
- Home page: https://cube.dev
- GitHub repository: https://github.com/cube-js/cube
- Statement: Cube — Universal semantic layer platform for AI, BI, spreadsheets, and embedded analytics
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.
- Home page: https://www.denodo.com/en
- Statement: "One Logical Platform for All Your Data One Modern Solution for Your Business"
- GitHub repository: https://github.com/dbt-labs/metricflow
- Statement: "MetricFlow is a semantic layer that makes it easy to organize metric definitions"