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World’s First Fast Data Strategy Conference

20+ Sessions to Accelerate your BI, Cloud and Big Data projects

Choose from over 20 sessions on customer case studies, education on data virtualization, and technical deep-dives filled with presentations panels, and demos. Walk away with practical knowledge about embedding fast data strategy within your IT projects. Become a friend of the business by providing faster insights and enabling rapid decision-making.

Analyst Keynote: Accelerating Fast Data Strategy with Data Virtualization
Presenter: Noel Yuhanna, Principal Research Analyst, Forrester Research
Customer Case Study: Designing an Agile Fast Data Architecture for Big Data Ecosystem using Logical Data Warehouse and Data Virtualization
Presenter: Kurt Jackson, Platform Lead, Autodesk
Experts Panel: Core Components of Fast Data Strategy: Big Data and Data Virtualization
  • Noel Yuhanna, Principal Research Analyst, Forrester Research
  • Mark Eaton, Enterprise Architect, Autodesk
  • Matt Morgan, Vice President, Product and Partner Marketing, Hortonworks
Moderated by: Ravi Shankar, CMO, Denodo
Use Cases: Where does Fast Data Strategy Fit within IT Projects
Presenter: Ravi Shankar, CMO, Denodo
Demo: How to Achieve Fast Data Performance in Big Data, Logical Data Warehouse, and Operational Scenarios
Presenter: Pablo Alvarez, Principal Technical Account Manager, Denodo
Customer Case Study: Data Virtualization Journey: How to Grow from Single Project and to Enterprise Adoption
Josh Wise, Enterprise Architect, Intel
Intro: Getting Started with Data Virtualization – What problems DV solves
Richard Walker, VP, Sales, Denodo
Data Science: Expediting Use of Data by Business Users with Self-service Discovery and Search
Mark Pritchard, Director, Sales Engineering
Customer Case Study: Data Virtualization in the Cloud – Accelerating Time-to-Value
Avi Deshpande, Principal, Big Data and Advanced Analytics, Logitech
Demo: Connect, Combine, Publish Easily with Data Virtualization
Pablo Alvarez, Principal Technical Account Manager, Denodo
Data Virtualization Reference Architectures: Correctly Architecting your Solutions for Analytical & Operational Uses
Alberto Bengoa, Sr. Product Manager, Denodo Platform for AWS
Customer Case Study: Data Virtualization for Compliance – Creating a Controlled Data Environment
Stan Sobol, Chief Data Architect, CIT
Enabling Fast Data Strategy: What’s new in Denodo Platform 6.0
Alberto Pan, CTO, Denodo
Data Virtualization Deployments: How to Manage Very Large Deployments
Juan Lozano, Sales Engineering Manager, Denodo
Supporting Data Services Marketplace using Data Virtualization
Alex Rosenthal, Head of Enterprise Data, Guardian Life
Wang Cheung, Program Manager - Enterprise Data Architecture, Guardian Life
Data Virtualization in the Cloud: Accelerating Data Virtualization Adoption
Alberto Bengoa, Sr. Product Manager, Denodo Platform for AWS
Big Data: Architecture and Performance Considerations in Logical Data Lakes
Alberto Pan, CTO, Denodo
Customer Case Study: Data Services – Rapid Application Development using Data Virtualization
Jay Heydt, Manager, Database Technologies, DrillingInfo
Ten Pillars of World Class Data Virtualization
Suresh Chandrasekaran, Sr. Vice President, Denodo
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESB
Paul Moxon, Head of Product Management, Denodo
Customer Case Study: Modernizing Data Architecture using Data Virtualization for Agile Data Delivery
Dave Kay, Data Consultant, Zurich Insurance
Analyst View of Data Virtualization: Conversations with Boulder Business Intelligence Brain Trust Partner Enablement: Key Differentiators of Denodo Platform 6.0 for the Field
Richard Walker, VP Sales, Denodo & Annette Cini, Sr Channel Marketing Manager, Denodo

What is it?

“Data bottlenecks create business bottlenecks. Business stakeholders at the executive and line-of-business levels need data faster to keep up with customers, competitors, and partners.”

/ Create A Road Map For A Real-Time, Agile, Self-Service Data Platform, Forrester Research, Dec 16, 2015.

Fast Data Strategy is a disciplined approach to the use of agile, real-time, self-service data technologies such as data virtualization to deliver data quickly to business users to effect faster outcomes.

Best-in-class companies have utilized fast data strategy to achieve rapid time-to-value in their BI, big data, and data services projects.

Keynote Speakers
Noel Yuhanna
Principal Research Analyst
Kurt Jackson
Platform Lead
Mathew Morgan
Vice President, Product and Partner Marketing
Ravi Shankar
Pablo Alvarez
Principal Technical Account Manager
Media Partners