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Snowflake delivers the scale and performance teams need for analytics, but most organizations still struggle to make data easy to find, trusted to use, and safely shared across every team and tool.

This technical whitepaper explains how adding a logical layer helps you extend Snowflake across your full data landscape to accelerate self-service, improve governance, and reduce time-to-insight.

In this whitepaper, you will learn how to:

  • Create a single, marketplace-style experience to discover and access data in Snowflake, SaaS, on-prem systems, files, and APIs
  • Deliver business-friendly semantic models without building and maintaining more replicas and pipelines
  • Onboard new data faster, and support hybrid and multi-cloud architectures without disrupting consumers
  • Apply consistent security and governance policies across data, not just within Snowflake
  • Support multiple personas, from business users to data engineers and data scientists
  • See a real customer example, including a 35x increase in users accessing the data platform

Some of the leading organizations that trust Denodo for their data management initiatives are:

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Agenda

7:30 a.m.
Breakfast & Introductions

8:00 a.m.
Predictive Analytics: The Hottest Techniques and Tools
 Dr. Fern Halper, TDWI VP and Senior Research Director for Advanced Analytics

8:45 a.m.
The Role of Data Virtualization in the Era of Big Data & Predictive Analytics
Thomas LaSalle, Director at Denodo

9:15 a.m.
Q&A

9:30 a.m.
Event concludes; optional networking

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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 www.denodo.com or call +1 877 556 2531 / +44 (0) 20 7869 8053 / (+65) 6950 7489.

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