Obaysch
Data Modeling Meetup Munich: Guide Your Business Towards a Logical Data Model with Remco Broekmans
1:01:34
Obaysch
Data Modeling Meetup Munich: Powering a Solution Designed for Change with Roelant Vos
41:30
Obaysch
Data Modeling Meetup Munich: Documenting Your Database Using Minimal Modeling with Alexey Makhotkin
38:05
Obaysch
Data Modeling Meetup Munich: Data Mesh – Kicking Off a Mentality Change with Amy Raygada
50:47
Obaysch
Data Modeling Meetup Munich: Lineage as Data at the Column and Row Level with Jay Quincy Allen
43:48
Obaysch
Data Modeling Meetup Munich: From Data Vault to Data Mart Using Twine with Erik Bouvin
39:35
Obaysch
Knowledge Gap 2023: Ron Itelman on Doing More with Less
22:58
Obaysch
Knowledge Gap 2023: Lars Rönnbäck on Towards the Model-Driven Organization
24:10
Obaysch
Knowledge Gap 2023: Marco Wobben on Language Integration
22:14
Obaysch
Knowledge Gap 2023 – Remco Broekmans on Discovering Your Relationships with ELM
23:30
Obaysch
Knowledge Gap 2023: Hans Hultgren on Meeting “The Business”
21:40
Obaysch
Knowledge Gap 2023: Stefan Berkner on Real-Time Entity Resolution at Scale
18:32
Obaysch
Knowledge Gap 2023: Nikolai Golov on Streams as an Addition to Anchor Modeling
21:40
Obaysch
Knowledge Gap 2023: Thomas Frisendal on Graph Normal Form
25:42
Obaysch
Knowledge Gap 2023: Mark Atkins on Closing the Semantic Gap
24:08
Obaysch
Knowledge Gap 2023: Remco Broekmans on Abstraction or Generalization and Data Vault
21:09
Obaysch
Knowledge Gap 2023: Graham Witt on System Specification Using Natural Language
24:51
Obaysch
Knowledge Gap 2023: Shane Gibson on the Information Product Canvas
19:24
Obaysch
The Present and Future of Data Warehousing II (Knowledge Gap Special 2023)
1:01:00
Obaysch
Knowledge Gap 2023: Andrew Foad on The Origins of HOOK
22:57
Obaysch
Knowledge Gap 2023: Andreas Henning on Data Vault Automation
28:27
Obaysch
Knowledge Gap 2023: Rod Rivera on Building Data Products
29:41
Obaysch
Knowledge Gap 2023: Petr Beles on Fun with Multitemporal Data Processing
25:14
Obaysch
Knowledge Gap 2023: Torsten Glunde on Model-Driven Analytics Engineering
35:32
Obaysch
Knowledge Gap 2022: Ronald Ross on Data – It’s a Sign!
20:35
Obaysch
Data Modeling Meetup Munich: Date Dimension Is for Everyone, the Cool Guys Have Date Arithmetics!
53:23
Obaysch
Data Modeling Meetup Munich: An Approach to Automating Your (Anchor) Modeling
35:09
Obaysch
Data Modeling Meetup Munich: Data Modeling as Knowledge Construction with Marielle Dado
29:03
Obaysch
Knowledge Gap 2022: Gabriella Obispa & Tanja Ubert on The Future of Data Science
27:00
Obaysch
Data Modeling Meetup Munich: Ghosts of Data Warehousing Past, Present and Future
58:41
Obaysch
Data Modeling Meetup Munich: An Introduction to Activity Schema with Timo Dechau
1:00:05
Obaysch
Data Modeling Meetup Munich: Meshy Marts – Are Data Products Just Data Marts (with Matthew Darwin)
1:14:17
Obaysch
Data Modeling Meetup Munich: Building a SAP Data Vault and Marts Using Coalesce with Matt Florian
42:13
Obaysch
Knowledge Gap 2022: Bita Motamedian on Overcoming Data Silos
23:35
Obaysch
Knowledge Gap 2022: Shane Gibson on Democratizing Data Modeling
24:10
Obaysch
Data Modeling Meetup Munich: From Data Vault to Anchor Modeling with Nikolai Golov
42:39
Obaysch
Knowledge Gap 2022: Marco Wobben on No Data
21:33
Obaysch
Knowledge Gap 2022: Lars Rönnbäck on The Pain and Pleasure of Building a Database Engine
39:33
Obaysch
Knowledge Gap 2022: Michael Müller on Business-driven Data Warehouse Automation
23:55
Obaysch
Knowledge Gap 2022: Hans Hultgren on All the Events We Don’t Care About
20:09
Obaysch
Knowledge Gap 2022: John O’Gorman on Faceted Graphs
21:39
Obaysch
Knowledge Gap 2022: Patrik Lager on How to Achieve Data Warehouse Longevity
25:20
Obaysch
Knowledge Gap 2022: Juha Korpela on How to Transform a Business Model into the Perfect Star Schema
46:59
Obaysch
Knowledge Gap 2022: Rogier Werschkull – Will the Data Mesh Save Us from Analytics Misery?
26:00
Obaysch
The Present and Future of Data Warehousing (Knowledge Gap Special 2022)
1:14:47
Obaysch
Knowledge Gap 2022: Petr Beles on Data Vault vs. Data Mesh
14:51
Obaysch
Data Modeling Meetup Munich: How Business Modeling Helps You Design a Better Data Vault with R. Vos
45:53
Obaysch
Knowledge Gap 2021: Shane Gibson on Agile Data Patterns for Data Vault
19:49
Obaysch
Data Modeling Meetup Munich: Maybe the Problem with Data Quality is ‘Data’ with Ron Ross
46:11
Obaysch
Data Modeling Meetup Munich: HOOK: The Lazy Approach to Data Warehousing with Andrew Foad
38:34
Obaysch
Data Modeling Meetup Munich: Data Vault – A Question of Early or Late Integration with M. Müller
50:20
Obaysch
Data Modeling Meetup Munich: Data Modeling with JSON with Francesco Puppini
45:54
Obaysch
Data Modeling Meetup Munich: Time Dimensions in the Data Vault with Petr Beles
42:17
Obaysch
Data Modeling Meetup Munich: The Road to the Ensemble Logical Model with Remco Broekmans
36:41
Obaysch
Data Modeling Meetup Munich: Concept Models with Ronald G. Ross
58:24
Obaysch
Knowledge Gap 2021: Martijn ten Napel on The Cult of the Data People
19:32
Obaysch
Knowledge Gap 2021: Patrik Lager on Identifiers
14:28
Obaysch
Knowledge Gap 2021: Lars Rönnbäck on Top-Down & Bottom-Up Modeling
21:16
Obaysch
Knowledge Gap 2021: Alex Higgs & Neil Strange on dbtvault
25:44
Obaysch
Knowledge Gap 2021: Roelant Vos on How to Agree to Disagree
21:48
Obaysch
Data Modeling Meetup Munich: Communication Breakdown with Graham Witt
43:37
Obaysch
Data Modeling Meetup Munich: Supporting the Business Narrative with a Data Framework
32:50
Obaysch
Data Modeling Meetup Munich: Metadata-driven Data Warehouse Automation with Lars Rönnbäck
54:15
Obaysch
Data Modeling Meetup Munich: The Data Vault Guru with Patrick Cuba
37:15
Obaysch
Data Modeling Meetup Munich: Lessons From Earth’s Largest Data Vault with Mike Magalsky
51:57
Obaysch
Data Modeling Meetup Munich: An Introduction to Focal with Patrik Lager
47:56
Obaysch
Data Modeling Meetup Munich: Data Vault & Modeling Patterns with John Giles
40:43
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Data Modeling Meetup Munich: Optimizing Data Vault Architecture on Snowflake with Dan Galavan (EN)
49:46
Obaysch
Data Vault Modeling Exercise: Foodbike
8:57