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Catch up with Jenifer Stirrup's presentation from the Data Community's Virtual Conference.

 

Other presentations from the event are being added with Shane Gibson and Julien Redmond amongst those already available.

Data Modelling for Super Stars! How to Collaboratively Design Your Star Schema with End Users
Data Modelling for Super Stars! How to Collaboratively Design Your Star Schema with End Users
50:55
8 Questions That Reveal Whether Your Data is AI-Ready
46:39
The AI-Ready Data Platform
47:43
AI + Data Vault: Three Real-World Use Cases from dFakto
39:54
How to gather data requirements in 30 minutes or less - the Information Product Canvas
50:37
Why Data Vault will save your AI
45:27
How to Plan a Data Migration
10:33
What is Data Vault?
11:31
This channel is coming soon!
JOINing your data teams with dbt Mesh
58:36
Unwrap AutomateDV (formerly known as dbtvault) new features this Christmas with Alex Higgs
35:58
Latest developments in AutomateDV: pilot your Data Vault project for free
41:44
Interview with Mirvac about their experiences adopting AutomateDV (formerly known as dbtvault)
10:26
This channel is coming soon!
What Most People Get Wrong About Data Mesh
28:43
Why AI Needs Ontologies
23:46
Designing AI That Understands Your Data
22:11
How to Plan a Successful Data Migration
08:42
All About Data Integration - The Business Thinking Podcast E47
12:56
Healthcare Data Migration Lessons | The Business Thinking Podcast w/ Julien Redmond
12:17
How Would You Model Santa? A Festive Data & Business Thought Experiment
27:42
AWS vs Azure vs GCP: How to Choose the Right Cloud Platform for Your Data Stack
25:06
Data Modelling for Super Stars! How to Collaboratively Design Your Star Schema with End Users
50:55
8 Questions That Reveal Whether Your Data is AI-Ready
46:39
The AI-Ready Data Platform
47:43
AI + Data Vault: Three Real-World Use Cases from dFakto
39:54
How to gather data requirements in 30 minutes or less - the Information Product Canvas
50:37
Why Data Vault will save your AI
45:27
The Next Challenge for Data Vault Teams: Governance, Metadata, and Scale
44:16
The Peculiar State of AI
48:11
From Monolith to a Contract-Driven Mesh - with Data Vault as the Foudation
52:25
What Most People Get Wrong About Data Mesh
28:43
Data Mesh and Data Vault
52:43
Data Mesh & Data Vault - Can they really work together?
43:40
Data Mesh & Data Vault on Snowflake
01:05:48
How decentralising your data with a Data Mesh can improve analytics
37:30
JOINing your data teams with dbt Mesh
58:36
Cutting Data Fabric and Mesh to measure with Dr Barry Devlin
41:45
Data Vault: Learn Business Vault Secrets
12:00
A brief introduction to Data Vault 2.0 - Part 7 of 7 - Workflow
08:04
A brief introduction to Data Vault 2.0 - Part 5 of 7 - Modelling
09:16
A brief introduction Data Vault 2.0 - Part 3 of 7 - Architecture
07:56
A brief introduction to Data Vault 2.0 - Part 4 of 7 - Agile Methods
05:25
A brief introduction to Data Vault 2.0 - Part 1 of 7 - Introduction
03:25
A brief introduction Data Vault 2.0 - Part 6 of 7 - Automation
05:13
A brief introduction to Data Vault 2.0 - Part 2 of 7 - Benefits
07:11
AI + Data Vault: Three Real-World Use Cases from dFakto
39:54
Semantics in Data Architecture - Real Life Learnings
52:27
Data-Centric Engineering at scale: How do we automate workflows for large-scale emissions reductions
33:13
McDonaldโ€™s Nordics: Enabling improved focus on modelling and the businessโ€‹โ€‹
43:08
When Everything Changes Overnight: Data's Impact on Healthcare Reform in Finland
50:58
Data Vault User Group Case Studies Webinar: Lessons from 3 Data Vault Users
46:17
Interview with Mirvac about their experiences adopting AutomateDV (formerly known as dbtvault)
10:26
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