Data Virtualization
- Data Virtualization
Denodo Platform
- Introduction
  - Overview
- Product
- Services
- Denodo Platform 7.0
  
  Discover the Power of Data Virtualization with Parallel In-memory Fabric and Dynamic Data Catalog.
- Denodo for AWS, Azure and GCP
  
  Accelerates data virtualization adoption with ready-to-use software on the scalable Amazon Web Services, Microsoft Azure and Google Cloud Platform.
Solutions
- Introduction
  - Overview
- By use case
- By Industry
- Data Virtualization for Big Data
  
  The Denodo Platform supports many patterns, or use cases, with Big Data – whether with Hadoop distributions (Cloudera, Hortonworks, Amazon’s Elastic Map reduce on EC2, etc.) or NoSQL data stores such as MongoDB, Cassandra, Neo4j, Aerospike, and so on.
- What is Data Governance?
  
  Data governance defines how enterprises manage availability, usability, integrity and security of their data with a set of predefined rules and processes in place.
Resources & Events
- Introduction
  - Overview
- Resources
  - Resource Library
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- Events
  - All Events
  - Upcoming Webinars
Company
- Introduction
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- About us
  - Who We Are
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  - Find a Partner
  - Partner Program
- Customers
  - Success Stories
- Careers
  - Careers Overview
  - Vacancies

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Denodo DataFest 2019 NY Interview: Wipro Limited

An interview with Rajat Sinha, Sr. Director, Alliances Data, Analytics & AI, and Stephen Folkerts, Managing Consultant, Data, Analytics & AI, Wipro Limited, a Denodo partner and official sponsor of Denodo DataFest 2019.

Rajat Sinha

Rajat Sinha Director - Alliances at Wipro Limited

Stephen Folkerts

Stephen Folkerts Managing Consultant, Data, Analytics & AI at Wipro Limited

Suresh Chandrasekaran

Suresh Chandrasekaran Executive VP, Denodo

2019/10/31

An interview with Rajat Sinha, Sr. Director, Alliances Data, Analytics & AI, and Stephen Folkerts, Managing Consultant, Data, Analytics & AI, at Wipro Limited, a Denodo partner and official sponsor of Denodo DataFest 2019.

Visit Denodo DataFest 2019 to watch all the sessions on-demand.

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