Join us for SQL Saturday Omaha July 22, 2017

Scot Reagin and Steve Nogradi will be speaking July 22 at SQL Saturday  at Mammel Hall, University of Nebraska-Omaha.

 

Agile Data Modeling with Data Vault  is the theme for the 8:30 a.m. session.

 

Agility and Business Intelligence are two good things that often struggle to be good together. A primary cause of this struggle is the inability of traditional Data Warehouse models to respond to change in a (business) timely manner. Data Vault is an evolution of Enterprise Data Warehouse modeling that removes the barriers to Data Warehouse agility. A Data Vault warehouse eliminates re-engineering both of the data schema and ETL as the model evolves in response to changing business needs and definitions.
In this session we’ll compare modeling techniques in real world scenarios to understand how Data Vault can make your EDW more capable and agile.

HUB data integration

During the 3:45- 5:00 session, Scot and Steve will share why the hero you need is Data Integration.

Every organization struggles to ensure data is up to date and consistent across multiple systems. Often this results in the development of layers of system to system data integrations or repetitive and manual processes intended to support operational and reporting needs.

Enterprise Data Warehouses and Marts are often the only stores that provide single point access to data sourced from multiple systems – but these stores can be expensive and complicated to build and maintain and tend to lag behind business need.

Data Lakes offer the promise of fast inexpensive data acquisition but without specialized tools lack the structure that makes their data accessible and useful to the business.

A managed Data Integration platform can provide both efficient data management across systems and a shared, single point, store of data sourced from all participating systems. A Data Integration platform solution is not technology or tool specific and can provide immediate and continuing value.

 

View schedule and Register

 

 

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