Multi-temporal Data Vault 2.0
Multi-temporal Data Vault 2.0

Multi-temporal Data Vault 2.0

Seminar


Veranstaltungsseite:

Sprache: Englisch

Aufrufe gesamt: 17, letzte 30 Tage: 9

Kontakt

Veranstalter

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Preis: 1.998,-- € zzgl. gesetzl. Mwst.

This class is a 2-day intensive course that builds on top of the Data Vault 2.0 Boot Camp. Therefore, the attendance of the Data Vault 2.0 Boot Camp is a requirement for this class. A passed CDVP2 certification is not required but strongly recommended.

The objective of this class is to provide attendees the concepts of multi-temporal data warehousing and the foundation to develop such solutions on their own in a Data Vault 2.0-based enterprise data warehouse. To achieve this goal, various timelines and perspectives are discussed before specific patterns for multi-active, real-time and other scenarios are provided. 

This class is an in-depth look at implementing multi-temporal enterprise data warehouse solutions. This course covers patterns for CDC, real-time, multi-active data and discusses how to retrieve information marts by leveraging patterns for dimensions and facts. 

Kein Referent eingetragen
Zeitpunkt Veranstaltungsort Beschreibung Kontaktperson  
28.11.2022 - 29.11.2022
Online
This class is an in-depth look at implementing multi-temporal enterprise data warehouse solutions. This course covers patterns for CDC, real-time, multi-active data and discusses how to retrieve information marts by leveraging patterns for dimensions and facts. Kontaktanfrage
10.10.2022 - 11.10.2022
Online
This class is an in-depth look at implementing multi-temporal enterprise data warehouse solutions. This course covers patterns for CDC, real-time, multi-active data and discusses how to retrieve information marts by leveraging patterns for dimensions and facts. Kontaktanfrage
27.06.2022 - 28.06.2022
Online
This class is an in-depth look at implementing multi-temporal enterprise data warehouse solutions. This course covers patterns for CDC, real-time, multi-active data and discusses how to retrieve information marts by leveraging patterns for dimensions and facts. Kontaktanfrage