SQL Patterns (and how to exploit them) Part I
Explore SQL patterns and learn how to exploit them to save time and money with Single Origin.
Engineering
Engineering @ Single Origin
5 Reasons to adopt Single Origin Semantic Management over DBT
Managing the quality and consistency of your data pipelines and analytics has never been more challenging - or more critical. Data organizations grow in complexity every day. This complexity makes collaborating across your
Single Origin Platform, Part 3: Semantic Management Powers Novel Applications
In this series on the Single Origin platform, we will do a deep dive into how Single Origin helps data operators. This is part 3 of the series, looking at how Single Origin defines and implements a semantic management system.
Single Origin Platform, Part 2: Deconstructing SQL queries into Reusable Components
In this series on the Single Origin platform, we will do a deep dive into how Single Origin helps data operators. This is part 2 of the series, breaking down how we deconstruct a SQL query into reusable components with Single Origin's common definition model.
Throughlines: Tracing Data With Field-level Lineage, Part 2
Field-level lineage demonstrates the SQL transformation between the granular relationships across fields (properties of views, data entities, and dimensions) and columns (properties of datasets).