Data Vault: An Introduction By Michael Olschimke
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.59 GB
| Duration: 5h 0m
Learn the core principles of agile, scalable, and resilient data platforms
What you'll learn
Get an understanding of your role in a data project
Create a future-proof data platform architecture
Understand the four pillars of a successful data solution
Learn the core principles of agile, scalable, and resilient data platforms
Understand how to model a Data Vault that integrates data from multiple source systems
The Original Data Vault Methodology (taught by an officially certified Data Vault 2.0 trainer)
A deep understanding of core modeling components
Agile Data Vault Methodology and Implementation
Use automation to implement a Data Vault model
Requirements
The course is ideal for Business Intelligence or Data professionals, Scrum Masters, Project Manager, Business Analysts, and anyone interested in modern data integration and modeling.
No prior knowledge of Data Vault is required - just a general interest in data management and modelling.
Description
Unlock your organization's data potential with "Data Vault: An Introduction by Michael Olschimke", an intensive four-hour class led by the industry authority Michael Olschimke. In today's fast-paced business landscape, traditional data warehousing often fails to keep up, acting like a rigid legacy software system where changing a single line of code requires a complete system reboot. This course introduces you to the Data Vault standard, a modern solution designed like a modular microservices architecture that allows you to add new data sources and business units in days, rather than months, without disrupting your existing operations. This framework is specifically built for agility, unshakeable trust, and massive scalability to ensure your data grows with your business, not against it.The Business Value of Data VaultExtreme Agility: Add new data sources in days with "plug-and-play" integration that avoids system reboots.Total Auditability: Build unshakeable trust with 100% traceability for effortless regulatory compliance.Massive Scalability: Eliminate bottlenecks with a modular design that supports parallel team development.Rapid ROI: Slash manual coding by up to 80% through standardized patterns and automation.What You Will LearnThis training is structured around the four pillars of a successful data solution: Architecture, Methodology, Modeling, and Implementation. You will begin by defining the modern data platform, understanding how to source all types of data-structured, semi-structured, and unstructured-regardless of the environment.Michael will guide you through the Data Vault Reference Architecture, covering the essential layers from the Landing Zone and Staging Area to the Raw Data Vault, Business Vault, and final Information Marts. You will gain a deep understanding of core modeling components, including Hubs, Links and Satellites.Agile Methodology and ImplementationBeyond technical modeling, this course teaches you the Agile Data Vault Methodology. You will learn how to organize sprints-from the initial "fail fast" setup in Sprint 0 to delivering production-ready business value in subsequent cycles. Finally, the training covers the critical role of Automation, introducing you to industry-leading tools like dbt, Wherescape, and Datavault Builder to streamline your data flows.Whether you are a data architect, analyst, or IT manager, this course provides the foundational knowledge needed to build a resilient data warehouse that grows with your business, not against it.
The course is ideal for Business Intelligence or Data professionals, Scrum Masters, Project Manager, Business Analysts, and anyone interested in modern data integration and modeling.,No prior knowledge of Data Vault is required - just a general interest in data management and modelling.
Data Vault: An Introduction By Michael Olschimke
