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Michael Olschimke

Michael Olschimke is the Co-Founder and CEO of Scalefree and a "Data Vault 2.0 Pioneer" with over 20 years of IT experience. A Fulbright scholar and co-author of Building a Scalable Data Warehouse with Data Vault 2.0, Michael is a global authority on AI, Big Data, and scalable Lakehouse design across sectors like banking, automotive, and state security.

In Expert

Data-Driven Decision Making – For Power Users and Data Scientists

Watch the Webinar

Data-Driven Decision Making – For Power Users and Data Scientists

In this webinar, Michael Olschimke, the CEO of Scalefree, presents how to gain additional advantage from the enterprise data warehouse by making the solution available to power users and data scientists.

No one likes to wait! If you have to wait too long for data or information, you will find another way to get what you need. This will end up in different inconsistent data warehouse “solutions” in your company.

To avoid this, an agile approach with managed Self-Service BI is essential to keep a good relationship with Power Users (e.g. Data Scientists) and to build a governed enterprise BI solution for better decision-making. In this webinar, Michael Olschimke will talk about approaches, best practices, and experiences.

Watch Webinar Recording

Webinar Agenda

1. About Data-Driven Organizations
2. Creating a Data-Driven Strategy
3. Making Data Available throughout the Enterprise

In Data Warehouse

About Non-Functional Requirements

Non-Functional Requirements in Data Warehousing

The enterprise data warehouse is more than just reports and dashboards. There are actually more technical components, also know as non-functional requirements, to be built.

In this article:

Why Non-Functional Requirements are important

In our trainings and consulting practice, we often pitch the idea of “focusing on the business value” to the audience. Business value in enterprise data warehousing is defined as “something of value to the business” (believe it or not, we believe it should be said sometimes).

Typically, the reason businesses setup a budget for the enterprise data warehouse is that they want some reports or dashboards with actionable information. On the other hand, the most important counter-argument is that the enterprise data warehouse is more than just reports and dashboards. There is actually a lot of more technical components (non-functional requirements) to be built, including but not limited to: Continue Reading

In Data Vault

Data Vault 2.0’s Inventor Offers Unprecedented On-Site Access

To all those that have been a part of the Scalefree journey up until this point,

We’d first and foremost like to thank you for all the contributions you have made in helping us build Scalefree into the firm it is today. All of your contributions and business have allowed us to create a success story beyond what was first imagined and for that we offer our gratitude.

That said, a recent development here at Scalefree has presented the company with the opportunity to offer unprecedented, on-site access to the man that helped make all of this possible, the inventor of Data Vault 2.0, Dan Linstedt.

Though before diving into the unique opportunity that presents you, a little about how we got here.

Continue Reading

In Books

Building a Scalable Data Warehouse with Data Vault 2.0

Book cover of Building a Scalable Data Warehouse with Data Vault 2.0

Get the Book

Book cover of Building a Scalable Data Warehouse with Data Vault 2.0

In the fast-paced world of data management, staying ahead is not just an advantage – it’s a necessity. For those eager to master the art of constructing scalable and future-proof data warehouses, “Building a Scalable Data Warehouse with Data Vault 2.0” is the compass that points the way. Let’s delve into the reasons why this book is a game-changer and how it can revolutionize your approach to data architecture.

Why Data Vault 2.0?

Authored by the renowned Dan Linstedt, this book is a comprehensive guide to the Data Vault 2.0 methodology, a revolutionary approach to data warehousing. What sets Data Vault 2.0 apart is its adaptability and scalability, making it the go-to solution for businesses navigating the complexities of modern data ecosystems.

What’s Inside?

Strategic Insights: Gain strategic insights into the world of data warehousing. Understand why a scalable data warehouse is crucial for the success of your organization.

Step-by-Step Guidance: Linstedt provides a step-by-step guide, making complex concepts accessible. From the basics to advanced techniques, the book caters to professionals at all levels.

Real-world Applications: The book goes beyond theory, offering practical examples and real-world applications. Learn how to apply Data Vault principles to actual scenarios, ensuring that your knowledge is not just theoretical but applicable.

Why Invest in Your Data Future?

In today’s data-driven landscape, the ability to harness and analyze data is a competitive advantage. “Building a Scalable Data Warehouse with Data Vault 2.0” is not just a book; it’s an investment in your professional growth. Here’s why:

Stay Competitive: Equip yourself with the skills needed to stay competitive in the rapidly evolving field of data management.

Future-proof Your Career: Data Vault 2.0 is designed to adapt to the ever-changing data landscape, ensuring that your skills remain relevant and in demand.

Drive Business Success: A scalable data warehouse is not just an IT asset; it’s a strategic business asset. Learn how to align data strategies with business goals.

Get Your Copy Now!

Ready to revolutionize your approach to data? Secure your copy of “Building a Scalable Data Warehouse with Data Vault 2.0” today by clicking here.

Don’t just keep up with the data revolution – lead it. “Building a Scalable Data Warehouse with Data Vault 2.0” is your key to unlocking the full potential of your data. Order now and take the first step toward data excellence!

In Books

Data Architecture: A Primer for the Data Scientist

Book cover of Building a Scalable Data Warehouse with Data Vault 2.0 – Dan Linstedt and Michael Olschimke

Get the Book

Book cover of Building a Scalable Data Warehouse with Data Vault 2.0 – Dan Linstedt and Michael Olschimke

In the dynamic landscape of data science, a reliable guide is essential for navigating the complexities of data architecture. Enter “Data Architecture: A Primer for the Data Scientist – Big Data, Data Warehouse, and Data Vault” a transformative book authored by the seasoned expert, W.H. Inmon. Let’s explore why this primer is a must-have for data scientists and enthusiasts alike.

Why Data Architecture?

Comprehensive Coverage: This book serves as a comprehensive introduction to the multifaceted world of data architecture. Whether you’re dealing with Big Data, Data Warehousing, or Data Vault, Inmon provides clear insights into each aspect.

Authoritative Author: W.H. Inmon is a pioneer in the field of data architecture. His expertise lends unparalleled authority to the content, ensuring readers receive accurate and valuable information.

Practical Applications: Beyond theory, Inmon emphasizes practical applications. Learn how to implement data architecture concepts in real-world scenarios, making this primer an invaluable resource for professionals and learners alike.

Key Features and Takeaways

Big Data Demystified: Understand the intricacies of Big Data and how to harness its potential for informed decision-making.

Data Warehouse Essentials: Dive into the essentials of data warehousing, from design principles to optimization strategies.

Data Vault Unveiled: Explore the Data Vault methodology and its role in creating agile and scalable data architectures.

Invest in Your Data Science Journey

Here’s why investing in “Data Architecture: A Primer for the Data Scientist” is a game-changer for your data science journey:

Build a Strong Foundation: Lay a solid foundation for your data science endeavors with a deep understanding of data architecture principles.

Stay Relevant: Inmon’s primer ensures that you stay up-to-date with the latest trends and best practices in the ever-evolving field of data science.

Practical Wisdom: Gain practical wisdom from a renowned expert, allowing you to bridge the gap between theoretical knowledge and real-world applications.

Get Your Copy Today!

Ready to elevate your data science skills? Secure your copy of “Data Architecture: A Primer for the Data Scientist” now by clicking here.

Don’t miss out on the opportunity to enhance your understanding of data architecture. Order your copy now and unlock the full potential of your data science endeavour!

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