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Ein neues Datenmodell für das Data Warehouse ist notwendig, aber wie modelliert man Daten? Temporale Daten verstehen und dazu Methoden und Techniken erlernen? Oder eine Zertifizierung zur Datenmodellierung?

Bei all dem unterstützen wir mit Coaching, unserer Academy oder mit Consulting!

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TEDAMOH Team - Stephan, Kim und Dirk

Leere Papierblätter für Notizen bei Seminaren in der TEDAMOH Academy - Photo by Brandi Redd on Unsplash

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Data Vault

  • Modeling the Agile Data Warehouse with Data Vault

    Dieses Buch ist ein MUSS für alle, die an Data Vault interessiert sind und auch für alle die sich für Business Intelligence und (Enterprise) Data Warehouse begeistern.
    Es ist aus meiner Sicht toll geschrieben: leicht verständlich und es sind alle Themen rund um Data Vault sehr gut erklärt.

  • Reflections on Data Natives conference, October 2016

    A conference for the data-driven generation!

    It’s late October 2016, an incredible crowd of young data-driven peeps are on their way to Berlin, looking forward to meet many other peeps with the same attitude at the Data Natives conference: Doing business with data or seeing a huge value in using data for the future. Besides the crowd I was not only impressed by the location but also by the amount of startups at the conference.

    The schedule for two days was full packed with talks and it wasn’t easy to choose between all these interesting topics. So I decided not to give myself too much pressure. Instead I cruised  through the program, and stumbled on some highlights.

  • Reflections on Global Data Summit 17

    This blog post will be a review of the Global Data Summit. But first I would like to lose a few sentences about the Advanced Data Vault & Ensemble Modelling meeting, organized by Hans Hultgren and Remco Broekmann. It is an event that brought together experienced data modelers from all over the world (New Zealand, South Africa, Europe and the USA) around Data Vault, Focal and Ensemble Logical Modeling (ELM). That sounds promising, doesn't it?

    Advanced Data Vault & Ensemble Modelling

    There were two interesting days with many topics around Data Vault and ELM, which were put up for discussion. The idea behind the meeting is to think further, e. g. where to go with Data Vault and ELM and what the participants can contribute from their own experiences. I personally find some of the points discussed very interesting and exciting and should be pursued further. With others I have to go into myself and continue researching. Most likely, I'll go into other blog posts on different topics, such as the discussion about concatenated key, partitioned links or how you can do without satellites on links. I will see.

  • Rüchschau 1. DDVUG

    Am Dienstag, den 24. Juni 2014, war es so weit! Wir haben uns, viele Data Vault Begeisterte, zum ersten Mal in Form einer User Group getroffen!DDVUG Dan Linstedt und das Star Schema Im Zuge der TDWI 2014 Konferenz hatten wir die Möglichkeit uns ebenfalls im MOC in München zu treffen. Danke hier auch an das ganze Team des TDWI.

    Super organisiert durch Christian Hädrich, war sogar Dan Linstedt als Ehrengast eingeladen. Sein Vortrag über die Entstehung von Data Vault war super anzuhören. Dieser soll in Kürze auf You Tube erscheinen. Wir sind gespannt.

  • Rückblick auf die Data Vault User Group im Mai 22

    Vergangene Woche hatte ich die Möglichkeit online bei der Data Vault User Group über temporale Daten vorzutragen: Who, how, what - why bitemporal data? Who does not ask will not be wise!

  • Rückschau DMZ Europe 2014

    Die Data Modeling Zone Europe 2014 ist zu Ende. Es waren zwei ereignisreiche Tage mit großartigen Sprechern und einem vollen Programm. In vier Tracks referierten namhafte Sprecher wie Dan Linstedt, Ronald Damhof, Martijn Evers, Karen Lopez und Rich van der Lans über Themen der Datenmodellierung, Big Data oder auch Industrie Datenmodelle.

  • Satelliten an Links, ja oder nein?

    Default Image - to replace

    Da war sie wieder, die lebhafte Diskussion über die Verwendung eines Link-Satelliten. Die Argumentation, ob ja oder nein, drehte sich im Kreis.

  • Satellites on Links, yes or no?

    Default Image - to replace

    And there it was again, the lively discussion about the use of a Link Satellite. The argumentation, whether yes or no, went round in circles.

  • Shared Data in einer virtuellen Architektur

    Shared Data in einer virtuellen Architektur

    Hybrides Data Warehouse am Beispiel von Data Vault


    In der heutigen BI-Welt müssen Anforderungen der Fachbereiche und gesetzliche Vorgaben sowie die Wünsche der Nutzer von Smart Devices an personenbezogenen Daten in Einklang gebracht werden. Anhand des fiktiven Unternehmens FastChangeCo sollen im Folgenden die Herausforderungen an den Schutz der Daten sowie die Umsetzung aufgezeigt werden. FastChangeCo hat eine Möglichkeit entwickelt, nicht nur Smart Devices herzustellen, sondern auch die Smart Devices als Wearables in Form von Sensoren auf Kleidung auszudehnen.

  • Significant improvement of the development process

    With his expertise as a coach for Data Vault and flexible data warehouse architectures, Dirk Lerner can be fully recommended.

  • Success with bitemporal knowledge

    At work I just started at a new customer and was part of the data warehouse team, who was assigned the task of building the Data Vault Data Warehouse. We were developing the Data Vault generator. At that point we used an end-date for the business time. I remember the complexity for updating the old records and the time for the server it costs to do this. Especially when you want to add rows in between. To load history, for example, from old sources. The training is led by Dirk in an interactive way.

  • Super Charge Your Data Warehouse

    Do You Know If Your Data Warehouse Flexible, Scalable, Secure and Will It Stand The Test Of Time And Avoid Being Part Of The Dreaded "Life Cycle"?

    The Data Vault took the Data Warehouse world by storm when it was released in 2001. Some of the world's largest and most complex data warehouse situations understood the value it gave especially with the capabilities of unlimited scaling, flexibility and security.

    Here is what industry leaders say about the Data Vault

    "The Data Vault is the optimal choice for modeling the EDW in the DW 2.0 framework"- Bill Inmon, The Father of Data Warehousing

    "The Data Vault is foundationally strong and an exceptionally scalable architecture" - Stephen Brobst, CTO, Teradata

    "The Data Vault should be considered as a potential standard for RDBMS-based analytic data management by organizations looking to achieve a high degree of flexibility, performance and openness" - Doug Laney, Deloitte Analytics Institute

    "I applaud Dan's contribution to the body of Business Intelligence and Data Warehousing knowledge and recommend this book be read by both data professionals and end users" - Howard Dresner, From the Foreword - Speaker, Author, Leading Research Analyst and Advisor

    You have in your hands the work, experience and testing of 2 decades of building data warehouses. The Data Vault model and methodology has proven itself in hundreds (perhaps thousands) of solutions in Insurance, Crime-Fighting, Defense, Retail, Finance, Banking, Power, Energy, Education, High-Tech and many more.

    Learn the techniques and implement them and learn how to build your Data Warehouse faster than you have ever done before while designing it to grow and scale no matter what you throw at it.

    Ready to "Super Charge Your Data Warehouse"?

    You can buy it here, at Dan Linstedts webpage.

  • TEDAMOH @ #TDWI - Let’s talk

    We, Stephan and myself, are looking forward to welcome you at the TDWI Conference at the MOC Munich from June 24th - 26th, 2019! Meet us at our booth, discuss bitemporal topics, data vault or data modeling at all with us and attend one of Dirk Lerner's lectures:

    • Model-driven decision making [Link], together with André Dörr and Mathias Brink
    • FBI at Bosch - a real journey through the depth of "data water" [Link], together with Marc Wiesner, Director Finance BI Competence Center, Robert Bosch GmbH
    • The depth of bitemporal data

      TEDAMOH - The depth of bitemporal data

      I was very satisfied with Dirk Lerners Temporal Data in a Fast-Changing World! training. The training answered all my question about bi-temporality, not addressed in other Data Vault trainings with such clarity.

    • The Integrated Data Hub

      The Smartest Way To Deal With The Data Integration Challenges

      Authored by Dario Mangano
      Edition: 1.0

      Data Warehouse projects fail.

      As an industry we have been battling with this phenomenon for decades. Though we have been getting better over the years, as an industry we still have a long way to go.

      Fortunately some people have found ways to beat the odds. By thinking out of the box, formulating new ideas, and creating new innovative approaches these people have each somehow unlocked the secrets of successful DW programs.

    • Understanding CDC to delete data in Data Vault

      Change Data Capture detects changes to data. In the case of deleted data, the question is: How should we manage deletions in Data Vault?

    • Update - generation of large sample data

      One of my most successful blog posts, the article on generating large sample data with the TPC-H benchmark, receives an update.

    • Update - Generierung von Beispieldaten

      Einer meiner erfolgreichsten Blogeinträge, der Artikel über die Generierung von umfangreichen Beispieldaten mit dem TPC-H Benchmark, erhält ein Update.

    • Webinar - Model driven decision making

      An EXASOL Webinar serie

      We are back again after a long time, with a new webinar. The last one, we (Mathias and I) did together is almost four years ago. Time flies by! What's up this time?

      The fictitious company FastChangeCoTM has developed a possibility not only to manufacture Smart Devices, but also to extend the Smart Devices as wearables in the form of bio-sensors to clothing and living beings. With each of these devices, a large amount of (sensitive) data is generated, or more precisely: by recording, processing and evaluating personal and environmental data.

    • Welche Zeit für Data Vault Timelines?

      Welche Zeit nehme ich für die Timelines in den Data Vault Entitäten? In meinen Projekten stellt sich immer wieder diese Frage. Dokumentiert das LoadDate im HUB, im LINK und im SAT den Load Date TimeStamp (LDTS) nach Dan Linstedt, oder doch die Transaction Time zu der Daten im Quellsystems entstanden sind? Oder besser die Extraktionszeit? Oder die Transaktionszeit der Datenbank1) zu der die Datenbank die Datensätze in die Tabellen speichert? Nicht einfach zu beantworten, oder?

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MORE ABOUT US

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TEDAMOH - Testimonial Coaching und Training

Der Wissensaufbau im Team, die Identifikation mit und das Vertrauen in das Datenmodell sind entsprechend hoch. Das ist sehr gut, denn auf unserem Weg, ein datengetriebenes Unternehmen zu werden, stehen wir vor großen Herausforderungen.

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Dirk Lerner ist mit seiner Expertise als Coach für Data Vault und flexiblen Data Warehouse Architekturen uneingeschränkt zu empfehlen.

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