DEN60EDUA01 Data Virtualization Architect Course

Thursday 25 July 2019 | 8.30AM - 5.30PM
Capital Tower, 168 Robinson Road, Singapore

This course covers architectural patterns for the use of data virtualization and best practices for performance optimization, data services governance, scalability and operation. You will learn how to architect a data virtualization infrastructure to manage the different virtual data workloads with the performance and reliability demanded by the consuming business applications.

Duration: 1 day of Instructor-Led Training.
Prerequisites: An understanding of data virtualization concepts is required.


08.30AM – 09.00AM  Registration

09.00AM – 09.45AM  Introduction to Data Virtualization for Architects 

09.45AM – 10.30AM  Data Virtualization in Action (incl. hands-on exercises)

10.30AM – 11.00AM  Break

11.00AM – 12.00PM  Data Virtualization Use Cases

12.00PM – 01.00PM  Lunch break

01.00PM – 02.00PM  Performance (incl. hands-on exercises) 

02.00PM – 03.00PM  Security and Data Privacy (incl. hands-on exercises)

03.00PM – 03.30PM  Break

03.30PM – 04.30PM  Deployment Architectures (incl. hands-on exercises)

04.30PM – 05.00PM  Q&A

05.00PM  Training session ends

Training Resources

  • An electronic copy of the presentations used during the training.
  • Denodo Software: students are free to try Denodo Express if they don't want to forget what they learned!

 Usual Price: $1000 USD

 Promotional Offer: Free for this in-person session on July 25 in Singapore.
Don't miss out on this exclusive offer!
Register your interest now!

*Note: Registration of interest online is NOT a confirmation of your seat. Confirmation of seat is subject to availability and registrants will be notified via email.

Pre-requisite: Bring Your Own Laptop
Important note: Each course participant is required to bring their own laptop running Windows or a laptop that can be connected to a remote desktop.

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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