How to Work with Snowflake Cloud Data Model

Описание: For this Hands-On Session, we invited Snowflake Data Superhero Dan Galavan to come and share his experience, reflect on current industry trends and - most importantly - take a deeper look at SqlDBM’s data modeling functionality to support the Snowflake Data Cloud.

Dan has spent his entire career of 20+ years being at the cutting edge of the latest developments in modern data architecture. His experience spans across such topics as: database design & development, master data management, data migration, cloud data warehousing, analytics, data orchestration, data governance, data strategy, and stakeholder engagement.

Webinar Outline:
0.00: Welcome / Intros
2.57: What is the Snowflake Data Cloud Platform
4.50: Data Modeling Roles in the Snowflake Data Cloud
6.00: Data Pipeline
12.20: Data Modeling as a Communication Tool
12.44: End Users of a Data Model
15.06: High Level Framework of a Data Model
20.54: Data Model Lab Overview
25.44: Snowflake Properties Overview/ Cluster Keys
30.51: Team Collaboration
36.08: Comparing Revisions
36.45: Forward Engineering into Snowsight
37.52: DataOps Overview/Comparing Environments
41.18: Running the Data Pipeline
47.44: Summary
48.30: Q&A

Read more from Dan: http://www.galavan.com/
Read more about the Snowflake Data Cloud: https://www.snowflake.com/trending/da...
Try SqlDBM: https://sqldbm.com/Home/