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Data Vault: Building a Scalable Data Warehouse

28 Hours
Data Vault Modeling is a database modeling technique that provides long-term historical storage of data that originates from multiple sources. A data vault stores a single version of the facts, or "all the data, all the time". Its flexible, scalable, consistent and adaptable design encompasses the best aspects of 3rd normal form (3NF) and star schema. In this instructor-led, live training, participants will learn how to build a Data Vault. By the end of this training, participants will be able to:
  • Understand the architecture and design concepts behind Data Vault 2.0, and its interaction with Big Data, NoSQL and AI.
  • Use data vaulting techniques to enable auditing, tracing, and inspection of historical data in a data warehouse.
  • Develop a consistent and repeatable ETL (Extract, Transform, Load) process.
  • Build and deploy highly scalable and repeatable warehouses.
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Testimonials(4)

how the trainor shows his knowledge in the subject he's teachign

john ernesto ii fernandez - Philippine AXA Life Insurance Corporation
Course - Data Vault: Building a Scalable Data Warehouse

The general topic itself

- Verizon Connect
Course - Amazon Redshift

Trainer had good grasp of concepts

Josheel - Verizon Connect
Course - Amazon Redshift

Lo que más me gustó fue el dominio del tema por parte del trainer, su paciencia y claridad al explicar los conceptos, y especialmente su disposición constante para responder todas las dudas que surgieron. Fue una experiencia de aprendizaje realmente enriquecedora y muy agradable.

Patricio Condado - SOKODB
Course - Greenplum Database

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