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Track: #DDVUG DWH Automation Challenge

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  • Mittwoch
    21.06.
09:00 - 10:00
Mi 8.1
Data Warehouse Automation Challenge for Willibald – Seeds and Plants

DWH automation is wonderful, but which tool? Using 13 typical data constellations, a fictitious data model is presented that can be used to evaluate the implementation performance of an automation tool. In 4 follow-up presentations, one implementation each will be presented based on the data.

Prerequisites: Basic Data Warehouse Knowledge
Level: Basic

Extended Abstract:
The automation of data warehouse development, especially in connection with Data Vault, drastically increases the speed of…

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Christian Hädrich, Michael Müller
F106
Vortrag: Mi 8.1
10:30 - 11:15
Mi 8.2
DWH Automation Challenge: DWH for Willibald on datavaultbuilder

With the data of the fictitious company Willibald and its 13 challenges, a DWH is created with datavaultbuilder. An ideal opportunity to see and evaluate the tool in realistic use. The data of the company Willibald has been explained by DDVUG in session 1 previous lecture.

Prerequisites: Basic Data Warehouse Knowledge
Level: Basic

Extended Abstract:
The fictitious company Willibald has asked Datavault Builder to perform a POC for their new DWH. For this purpose, it has defined 13 typical…

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Petr Beles
F106
Vortrag: Mi 8.2
11:25 - 12:10
Mi 8.3
DWH Automation Challenge: DWH for Willibald on dbt

With the data of the fictitious company Willibald and its 13 challenges, a DWH is created with the open source software dbt. An ideal opportunity to see and evaluate the tool in realistic use. The data of the company Willibald will be explained by DDVUG in a previous lecture.

Prerequisites: Basic Data Warehouse Knowledge
Level: Basic

Extended Abstract:
For the fictitious company Willibald, a complete data model with data is available that was created by DDVUG and provided with 13 typical…

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Andreas Haas, Jan Binge
F106
Vortrag: Mi 8.3
14:35 - 15:20
Mi 8.4
DWH Automation Challenge: DWH for Willibald on VaultSpeed

With the data of the fictitious company Willibald and its 13 challenges, a DWH is created with VaultSpeed. An ideal opportunity to see and evaluate the tool in realistic use. The data of the company Willibald will be explained by DDVUG in a previous lecture.

Prerequisites: Basic Data Warehouse Knowledge
Level: Basic

Extended Abstract:
For the fictitious company Willibald, a complete data model with data is available that was created by DDVUG and provided with 13 typical challenges. In this…

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Jonas De Keuster
F106
Vortrag: Mi 8.4
15:30 - 16:15
Mi 8.5
DWH Automation Challenge: DWH for Willibald on wherescape

With the data of the fictitious company Willibald and its 13 challenges, a DWH is created with WhereScape Data Vault Express. An ideal opportunity to see and evaluate the tool in realistic use. The data of the company Willibald will be explained by DDVUG in a previous lecture.

Prerequisites: Basic Data Warehouse Knowledge
Level: Basic

Extended Abstract:
For the fictitious company Willibald, a complete data model with data is available that was created by DDVUG and provided with 13 typical…

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Sultan Shiffa, Simon Spring, Thomas Heuer
F106
Vortrag: Mi 8.5
16:45 - 17:30
Mi 8.6
Panel Discussion “DWH Automation Pioneer Talk”

Being well informed about tools and their capabilities is one thing, but what can I expect when I embark on data warehouse automation?
We have three experts with very different experiences and three completely different approaches who will talk about implementation, reasoning, development speed, costs/benefits, metadata and lessons learned in this panel discussion.

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Andreas Buckenhofer, Michael Kwiatkowski, Oliver Grohmann, Christian Hädrich, Michael Müller
F106
Vortrag: Mi 8.6
17:40 - 18:25
Mi 8.7
Release Party for Willibald Data and DWH Automation Tool Evaluation Portal

The results of the DWH Automation Challenge are made available in a web-portal. The data and the data model for Willibald are made freely available.
A good reason to celebrate!
A pleasant way to end a long day on DWH automation and an exchange of ideas in a relaxed atmosphere.

Prerequisites: Basic Data Warehouse Knowledge
Level: Basic

Mehr lesen
Christian Hädrich, Michael Müller
F106
Vortrag: Mi 8.7

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