Скачать или смотреть Data Transformations in Analytics Engineering (Concepts & Dataform)

In this enlightening installment of our DataOps series, we dive deep into the intricacies of managing and simplifying complex cloud-based data pipelines, especially focusing on in-warehouse transformations. Whether you're a beginner or a seasoned professional, this video is designed to demystify the often intimidating world of data operations and analytics engineering.

Video Series Part 1:    • Data Sources in Analytics Engineering (Con...  
Video Series Part 2:    • Data Documentation in Analytics Engineerin...  
Demonstration Code and Diagram: https://github.com/nodematiclabs/anal...

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This video explores:
The setup of data originating from YouTube analytics via BigQuery Data Transfer.
The structuring and importance of in-warehouse transformations within ELT pipelines using Dataform or DBT.
The journey from raw data to creating derived views and tables, and the architectural principles behind these transformations.
How modularity in data modeling can be a game-changer.
The execution process of data transformations, emphasizing the importance of lineage and dependencues.
The integration and utilization of Git-based methods for workflow automation and management with platforms like GitHub or GitLab.

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0:00 Conceptual Overview
1:33 BigQuery Datasets
2:15 Dataform Definitions/Transformations
5:28 Lineage and Execution
7:14 Git Integration and GitOps