A new data model for the data warehouse is necessary, but how do you model data? Understanding temporal data and learning methods and techniques to do so? Or a certification in data modeling?
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Model driven decision making
During #XP19 you’ll be able to take part in our (Matze and myself) deep dive session about Model driven decision making: Data (Vault) Modeling and Deep Learning. It has been designed to give you a (very) short hands-on and practical guidance.
What is this 15 minute deep dive session about at #XP19?
OK, for those of you who just want to grab a promotion code... I'll make it short 😂:
As a speaker at both conferences I give you 15% on the DMZ EU and 20% on the DMZ US. You can register here.
For those of you who are also interested in what I'm going to talk about, a few more informations:
This year’s European Data Modeling Zone (DMZ) will take place at the wonderful German capital Berlin and I’m very happy to be again speaker at this great event! This year I’ll speak about how to start with a conceptual model, using a logical model and finally how to model the physical Data Vault. During this session we will do some exercises (no, no push-ups!!) to bring our brains up and running about modeling.
I am pleased to say that I will be participating at this year’s Enterprise Data & Business Intelligence and Analytics Conference Europe 18-22 November 2019, London. I will be speaking on the subject ‘From Conceptual to Physical Data Vault Data Model’ and (for sure) on my hobby horse subject temporal data: ‘Send Bi-Temporal Data from Ground to Vault to the Stars’. See my abstracts for the sessions below.
Last week I had the opportunity to present online at the Data Vault User Group about temporal data: Who, how, what - why bitemporal data? Who does not ask will not be wise!
I, Stephan, am very happy that I'm invited to give a presentation at the Knowledge Gap 2020 in Munich.
My presentation is about advanced techniques in Fact-Oriented Modeling.
Often data models are built with a technical focus, because they need to be delivered fast or must meet various technical requirements. Therefore, the business aspect and the meaning of objects and relationships are swept under the table. But then the business domain later hardly understands the data model and has problems to work with it in own applications or reports – which often results in a redesign of the data model and renewed time and cost expenditures.
In my point of view, it was another great TDWI conference at Munich with a lot of awesome people I could talk with - including an interesting discussion about data architecture with Mark (Madsen) and all the nonsense happening in the Big Data world.
FastChangeCo and the Fast Change in a Hybrid Cloud Data Warehouse with elasticity
What is this 20 minute talk about at #BAS19?
The fictitious company FastChangeCo 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.
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.
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.
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!
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:
Past, present and future, where did I speak and where will I speak at conferences?
Since my calendar fills up more and more with presentations at conferences I'll give you a summary to keep track on it. Some of them are already confirmed, for others I've submitted my abstracts but yet not confirmed.