| 1 - Core Components and Use of Minimum Lovable Governance.mp4 | 84.8 MB | ||
| 1 - Core Components and Use of Minimum Lovable Governance.pdf | 558.2 KB | ||
| 1 - Course Introduction — setting the stage.mp4 | 34.8 MB | ||
| 1 - Final words.mp4 | 28.7 MB | ||
| 1 - Final words.pdf | 1.2 MB | ||
| 1 - Prominent Data Management Approaches.mp4 | 31.2 MB | ||
| 1 - Prominent Data Management Approaches.pdf | 464.2 KB | ||
| 1 - The Wake-Up Call & MLG as the Answer.mp4 | 41.3 MB | ||
| 1 - The Wake-Up Call & MLG as the Answer.pdf | 753.4 KB | ||
| 1 - introduction and motivation.pdf | 603.3 KB | ||
| 1 - terraformingdataproduct-3.pdf | 1.2 MB | ||
| 2 - From Enterprise Architecture to Data Products — Strategic Alignment-by-Design.mp4 | 127.5 MB | ||
| 2 - From Medallion Layers to Data Products Applying ODPS for Maximum Value-2.pdf | 956.3 KB | ||
| 2 - From Medallion Layers to Data Products Applying ODPS for Maximum Value.mp4 | 91.7 MB | ||
| 2 - Steering with MLG (Practical Fixes).mp4 | 57.5 MB | ||
| 2 - Steering with MLG (Practical Fixes).pdf | 1.1 MB | ||
| 2 - The Enterprise Architecture View.pdf | 369 KB | ||
| 2 - Use cases library.mp4 | 91.1 MB | ||
| 2 - Usecases library.pdf | 1.3 MB | ||
| 3 - Connecting smart Objectives to Data Products.pdf | 2.5 MB | ||
| 3 - Connecting SMART Objectives and KPIs to Data Products.mp4 | 142.8 MB | ||
| 3 - From Data Management to Data Products — Measuring Value-by-Design.mp4 | 49 MB | ||
| 3 - From Data Management to Data Products — Measuring Value-by-Design.pdf | 1.4 MB | ||
| 3 - From Data Vault 2.pdf | 864.6 KB | ||
| 3 - From Promises → Automation (ODPS as Code).mp4 | 79.5 MB | ||
| 3 - From Promises → Automation (ODPS as Code).pdf | 820.2 KB | ||
| 3 - From Raw Vault to Business Value Using ODPS with Data Vault 2.0.mp4 | 82.6 MB | ||
| 4 - From Raw Data to Data Products — Value Creation-by-Design.mp4 | 145.2 MB | ||
| 4 - From Raw Data to Data Products.pdf | 3.9 MB | ||
| 4 - Minimum Lovable Governance Toolkit slides.pdf | 1.9 MB | ||
| 4 - Minimum Lovable Governance Toolkit v1.pdf | 2.1 MB | ||
| 4 - Minimum Lovable Governance Toolkit v1.rtb | 2.1 MB | ||
| 4 - Minimum Lovable Governance Toolkit.mp4 | 81.5 MB | ||
| 5 - Beyond Data Contracts.pdf | 384.9 KB | ||
| 5 - From Data Contracts to Data Products — Outcomes-by-Design.mp4 | 119.1 MB | ||
| 5 - Standards in Context – Compliance Where It Matters.mp4 | 106.1 MB | ||
| 5 - Standards in Context – Compliance Where It Matters.pdf | 649.3 KB | ||
| 6 - Archetypes define what kind of product we’re building.mp4 | 125.5 MB | ||
| 6 - Archetypes library.pdf | 729.3 KB | ||
| 6 - Why Governance Needs a Rethink.mp4 | 88.4 MB | ||
| 6 - Why Governance Needs a Rethink.pdf | 2 MB | ||
| 6 - the minimum lovable Governance model.pdf | 793.3 KB | ||
| 7 - Templates library.pdf | 795.8 KB | ||
| 7 - Templates show how to build it consistently through lifecycle.mp4 | 127.6 MB | ||
| 8 - Components Library.pdf | 956.7 KB | ||
| 8 - Components encode the governance rules.mp4 | 154.1 MB | ||
| 9 - Data Product Design Guide - binding all together.mp4 | 216.9 MB | ||
| 9 - data product design guide.pdf | 787.7 KB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 50 total files | |||
Data Products - Minimum Lovable Governance MasterClass
https://WebToolTip.com
Published 8/2025
Created by Dr. Jarkko Moilanen
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 22 Lectures ( 4h 0m ) | Size: 2.1 GB
Lightweight governance that makes data products trusted, scalable, and business-ready
What you'll learn
Why legacy data governance models don’t work for data products.
How to apply Minimum Lovable Governance (MLG) in practice.
Simple ways to link business goals with SLAs and data quality.
How to use agreements and standards to build trust.
Lightweight methods to scale governance across teams.
Requirements
No prior experience with data governance frameworks required.
A basic understanding of how organizations use data (analytics, reporting, or digital services) is helpful but not mandatory.
Curiosity about how to move beyond traditional data management toward product thinking.
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