Harsh Mangal
Data Engineer
Pooja Dusane
Services Engineer
Speaker Name
Speaker Title

Advanced Analytics and Machine Learning:

The current data landscape is fragmented. Data lakes, IoT architectures, noSQL, SaaS, etc. coexist with relational databases to fuel the needs of modern analytics, ML and AI. Exploring and understanding the data available within your company is a time-consuming task. Denodo allows you to browse through existing datasets and sample data from its catalog, and its advanced federation engine allows you to quickly analyze the data, regardless of the data's location.

In the Virtual Hands-on Workshop, you will get to experience:

  • A brief introduction of Data Virtualization
  • How to solve a typical challenge faced by data scientists and data analysts using the Denodo Platform
  • How to access the data you need for your Machine Learning models
  • How Data Virtualization can play a critical role in data governance and security within your organization

Data Virtualization has been getting a lot of attention recently - Gartner has called it an important component of any data integration architecture. Join us to find out what all the buzz is about!

Denodo Platform is used by

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Spaces are limited. Please register to attend.

  • Virtual

  • 10/26/2021 | 9:30 AM - 12:00 PM PT
  • Helen Zheng
9:30 AM PT - Welcome/Set-up
9:35 AM PT - Data Virtualization Introduction
9:50 AM PT - Hands-On Workshop
12:00 PM PT - Roundup
  • Virtual

  • 10/26/2021 | 9:30 AM - 12:00 PM PT
  • Helen Zheng
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Denodo is a leader in data management. The award-winning Denodo Platform is the leading data integration, management, and delivery platform using a logical approach to enable self-service BI, data science, hybrid/multi-cloud data integration, and enterprise data services. Realizing more than 400% ROI and millions of dollars in benefits, Denodo’s customers across large enterprises and mid-market companies in 30+ industries have received payback in less than 6 months.

For more information, visit or call +1 877 556 2531 / +44 (0) 20 7869 8053 / (+65) 6950 7489.

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