Model-driven Data Vault Construction

A Data Vault allows us to organise the data to minimise the impact of change on a model. This pattern, if used, can act as a basis for both transactional and warehouse use cases on modern platforms that minimise data movement, so we can construct once and use it for all the data use cases. The challenge here is unless we approach converting existing databases that are primarily relational to Data Vault in an automated way, it requires a steep investment that can practically outweigh the benefits of Data Vault in the short term.

What if we could construct a Data Vault using patterns in an automated way?

This presentation discusses those patterns and a practical implementation of them.

Speaker bio:

Sriram Nutulapati is a Software Engineer at Target corporation and he is currently pursuing a master's degree in Data Science at the University of Minnesota. He loves learning about data and its applications, as well as how it can benefit the world.

Sreeni Nutulapati, Director, Strategic initiatives at Illumifin, is passionate about solving enterprise challenges using architectural patterns that naturally fit the technology of choice so organisations get a faster ROI on their investments.

PLEASE NOTE: This session is in UK Time: 16:00, EST 11:00, CEST 17:00, PT 8:00