Cloud and Data Science Success with Agile Data Management

Featuring Leading Analysts from  


29 MAY 2019 | Calgary Marriott Downtown 110 9 Ave SE, Calgary, Canada

If you are an Architect, Data Scientist, or BI practitioner, don’t miss the opportunity to gain insights from inspiring presentations and informative discussions with industry analysts, thought leaders and your peers at Denodo’s inaugural Fast Data Strategy Road Tour in Calgary to advance your data science, cloud and analytics initiatives.

  • Learn how you can meet cloud and data science challenges with data virtualization.
  • Network with industry experts and walk away with the skills and best practices and solutions for achieving extreme agility for competitive advantage.
  • Enrich your cloud, big data, and analytics expertise through fast data strategy
  • Get hands-on experience with the Denodo Platform for Data Virtualization to understand its value first hand   

calgaryCalgary, Canada 
Wednesday, May 29, 2019


You could find more information here. If you have any questions, please contact

| Agenda

8:30 AM
Registration and Networking Breakfast
9:00 AM
TDWI Analyst Presentation
Modern Data Management in the Age of Cloud and Data Science: Trends, Challenges and Opportunities.
Speaker: David Stodder, Director, TDWI Research, Business Intelligence.

In this session, TDWI analyst David Stodder will discuss important trends in data management and analytics and highlight how to incorporate into your strategy solutions based on data virtualization, which can make siloed data look unified, provide real-time data capabilities, govern data access, and enable new practices such as agile development and self-service data prep and analysis.

9:30 AM
Denodo Presentation
Enabling a Modern Data Management with Data Virtualization.
Speaker: Pablo Alvarez, Global Director of Product Managment, Denodo.
Through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration" according to Gartner. It is clear that data virtualization has become a driving force for companies to implement an agile, real-time and flexible enterprise data architecture. In this session, find out what data virtualization is, how it works, the key capabilities as well as watch a demo.
10:15 AM
Networking Break
10:30 AM
Customer Success Story
Enabling Self Service BI with Data Virtualization.
Speaker: Stelios Pantazopoulos,
Manager, Enterprise Data and Business Intelligence at ENMAX.
11:00 AM
Panel and Q&A Discussion
11:45 PM
Network Lunch
12:30 PM
Hands-on Lab: Data Virtualization for a Modern Data Architecture
Speaker: Keath Lewin, Data Solutions Consultant, Services Engineering, Denodo.
This session will be just what it says…. a chance for you to get hands-on experience with the Denodo Platform for Data Virtualization for a deeper understanding of how quickly and easily you can integrate and provision data using the Denodo Platform. All you need to bring is a laptop or tablet to be able to try out the Denodo Platform and participate in any of the hands-on exercises.

In the Hands-on Lab, you will get to experience:
  • How the all new in-memory massive parallel processing feature along with Denodo dynamic query optimizer delivers data in real-time, on-demand even when dealing with very large data sets.
  • How you can expose business friendly information for self-service consumption to your business users by using the all new dynamic data catalog feature.
  • How data virtualization can play a critical role in data governance and security within your organization.


| Speakers

David Stodder

David Stodder
Director, TDWI Research, Business Intelligence

Arif Rajwana

Arif Rajwani
Founding Partner SimplicityBI
logo Enmax


Stelios Pantazopoulos
Manager, Enterprise Data and Business Intelligence
logo Enmax

Pablo Alvarez

Pablo Alvarez
Global Director of Product Managment

Keath Lewin

Keath Lewin
Data Solutions Consultant, Services Engineering

Denodo is the leader in data virtualization providing agile, high performance data integration and data abstraction across the broadest range of enterprise, cloud, big data and unstructured data sources, and real-time data services at half the cost of traditional approaches.

Do you have any questions? Contact us.

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