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Educational Seminar – Self-service BI, Logical Data Warehouse and Data Lakes

Date: Thursday, December 08, 2016

Time: 9:00AM to 1:00PM CT

Location: Westin Galleria Dallas, Dallas, Texas

Speakers

Self-service BI, Logical Data Warehouse and Data Lakes – They are all essential components of Fast Data Strategy. Many companies are rapidly augmenting their traditional data warehouses, data marts, and ETL with their logical counterparts. Reason? Agility and rapid time-to-market.

Attend this half-day seminar and learn from the data experts:

  • Why self-service BI powered by logical data warehouse and data lakes built using big data are the future of fast data strategy
  • The correct approaches to such modern data architectures and reaping high performance benefits
  • Hear directly from a customer who successfully implemented these solutions
  • Deep dive into the use cases with product demos.

Additionally, network with your peers as well as customers who have successfully implemented these solutions at lunch, and during the break. Best of all – the entire event is free.

TIMESESSIONS
09:00 – 09:45amCustomer Use Case: Powering Self-Service BI with Logical Data Warehouse and Operationalizing Logical Data Lakes
Chuck DeVries, VP, Strategic Technology and Enterprise Architecture, Vizient
09:45 – 10:15amLogical Data Lakes/ Warehouse: Architectural Patterns and Performance Considerations
Ravi Shankar, Chief Marketing Officer, Denodo
10:15 – 10:45amDemo: Building Logical Data Lakes/ Warehouse using Data Virtualization
Chris Walters, Sr. Solutions Consultant, Denodo
10:45 – 11:00amNetworking Break
11:00 – 11:30amBest Practices: Big Data Virtualization Deployment and Management
Charles Yorek, Vice President
iOLAP
11:30am – 12:00pmPanel: Self-service BI, Logical Data Warehouse, Data Lakes
Chuck DeVries, VP, Strategic Technology and Enterprise Architecture, Vizient
Chris Walters, Sr. Solutions Consultant, Denodo
Speaker, iOLAP
Moderator
Ravi Shankar, Chief Marketing Officer, Denodo
12:00 – 01:00pmNetworking Lunch

 

Logical Data Warehouse

A Logical Data Warehouse is a data system that follows the ideas of traditional Enterprise Data Warehouse (star or snowflake schemas) and includes, in addition to one (or more) core data warehouses, data from external sources. The main motivations are improved decision making and/or cost reduction.

Logical Data Lakes

A Logical Data Lake will not have a star or snowflake schema, but rather a more heterogeneous collection of views with raw data from heterogeneous sources. The virtual layer will act as a common umbrella under which these different sources are presented to the end user as a single system. However, from the virtualization perspective, a Logical Data Lake shares many technical aspects with a Logical Data Warehouse.

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