Conference: Reporting Summit 2025

Date: October 16, 2025 - Time: 6:30 p.m.
Location: metafinanz, Munich, Germany

Presentation: Data modeling with Data Vault - Special on data modeling 
Speaker: Dirk Lerner

Data Vault is a modern modeling method for data solutions that enables scalability, flexibility, and traceability. This session teaches the basics of Data Vault. Perfect for beginners who want to design future-proof data-driven solutions and make the most of their data's potential.

Conference: data2day

Date: November 4, 2025 - Time: 11:15 a.m.
Location: IHK Karlsruhe, Germany

Presentation: Data Engine Thinking: Future-proof data solutions
Speaker: Dirk Lerner

Data tells stories – if you understand it in the right context. Often, however, it remains just “ stuff” that we cannot use meaningfully. Data Engine Thinking wants to change that: It is about developing data solutions that are flexible, robust, and adaptable – just like the requirements that challenge companies every day.

Conference: DOAG 2025

Date: November 19, 2025 - Time: 10:00 a.m.
Location: Nuremberg Convention Center (NCC), Germany

Presentation: Bitemporality as a fundamental principle: The Data Engine Thinking approach
Speaker: Dirk Lerner

Temporal data is essential for modern data solutions. This session demonstrates how Data Engine Thinking facilitates the implementation of bitemporal data—not only as a technical feature, but as an integral part of the Data Engine approach.

Conference: DDVUG Herbsttagung 2025

Date: November 27, 2025 - Time: 11:00 a.m.
Location: Novotel Hannover, Germany

Presentation: Data Vault End-Dating Satellites on a Link: Variants, Options, and Data Engine Thinking
Speaker: Dirk Lerner

Data Vault End-Dating Satellites on a Link pose a particular challenge in data modeling. This presentation introduces various variants and options for the physical implementation of such structures and uses concrete examples to show how complexity can be significantly reduced during loading.

Conference: Global Data Summit 2025

Date: June 23, 2025 - Time: 10:20 - 10:40 AM
Location: Harpa Concert Hall and Conference Centre - Reykjavík, Iceland

Presentation: Data Engine Thinking
Speaker: Dirk Lerner

Data tells stories – when understood in the right context. However, it often remains just "stuff" that we cannot use meaningfully. Data Engine Thinking aims to change this: It's about developing data solutions that are flexible, robust, and adaptable – just like the requirements that challenge businesses daily.

FastChangeCo’s journey to Data Vault

FastChangeCo is a fictitious company founded in the early 20th century.  

Struggling with today's much more rapidly changing business requirements and dealing with more and more changes in source systems, FastChangeCo repeatedly tried to extend the data warehouse with state-of-the-art technologies to handle all these changes. But at the end of the day, they were not able to keep up with the ambitious goals to meet all the requirements.

In order to meet all these requirements, FastChangeCo decided to create a high-level vision - a goal against which they'll double-check all decisions in the upcoming project. The vision is to be more flexible, more agile, faster and less complex in all upcoming decisions, tasks and implementations.

Expectations and reality

How can recurring tasks be simplified? The question of how to automate data logistics processes in a data warehouse occupies project teams today. The desire for a comprehensive automation product is then usually very quick. The expectations are high, the disappointment (after the product selection) not uncommon.In this session, Dirk Lerner gives an insight into the expectations of the project teams, the processes of product selection and the reality.

Expectations and Reality

Today, quite a few data warehouse (data solution) project teams are thinking about automating their data logistics processes. How can you simplify the same tasks, leave these processes to an automatism and at the same time put as little repetitive effort as possible into the development? The demand for an end-to-end automation product for the data solution is then usually very quick to arise.

What exactly is temporal data? In this session, Dirk Lerner provides insight into what temporal data is and why data is a matter of time for certain business scenarios.

With simple examples, Dirk uses these business scenarios to visualize the differences in temporal approaches to historizing data and their implications.

Finally, Dirk Lerner presents the technologies available today that have implemented (bitemporal) historization of data.

Many data warehouse project teams today are considering the automation of processes. How can you simplify the same tasks over and over again, leave them to an automatism and put as little permanent effort into development as possible? The desire for a solution, an automation tool, is then usually very quickly present.

In this session Dirk Lerner will give an insight into bitemporal data use cases and why they are important and fundamental to today's business requirements. Afterwards he visualizes the procedure of bitemporal historization of data using a simple example. Finally, Dirk presents the available technologies that have already implemented a (bitemporal) historization of data.