PRESENTED BY
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!

* Seats are now full.  Please reach out to your local representative for information on our future live and virtual hands on labs.



Denodo Platform is used by

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Spaces are limited. Please register to attend.

  • Virtual

  • 08/17/2021 | 9:30 AM - 12:00 PM PT
  • Sandra Leon
Agenda
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

  • 08/17/2021 | 9:30 AM - 12:00 PM PT
  • Sandra Leon
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Denodo is a leader in data management. The award-winning Denodo Platform is the leading logical data management platform for transforming data into trustworthy insights and outcomes for all data-related initiatives across the enterprise, including AI and self-service. Denodo's customers in all industries all over the world have delivered trusted AI-ready and business-ready data in a third of the time and with 10x better performance than with lakehouses and other mainstream data platforms alone.
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