Data Driven Advanced Analytics using Denodo Platform on AWS

Presented by

Parvinder Singh, Partner Solutions Architect, AWS & Mitesh Shah, Director of Cloud Alliances, Denodo

About this talk

Accelerating cloud adoption and modernizing analytics in the cloud has become a necessity to facilitate timely, insightful, and impactful decision making. However, with the widespread data in an organization across disparate hybrid cloud data sources poses a challenge with real time and well governed analytics. Data Virtualization is a modern data integration technique in which a single semantic layer can be built to help drive data democratization and speed up the analytics in an efficient and cost-effective manner. Join this session to learn: - How various AWS services (Amazon Redshift, Amazon S3, Amazon RDS) can be quickly integrated using Denodo Platform’s logical data management by implementing a logical data fabric (LDF) - How LDF helps you manage and deliver your data for data science and analytics programs, supporting your business users. - How governed Data Services layer enables self-service analytics in your complex AWS data landscape
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For IT professionals who are focused on data integration and enterprise data management and are overwhelmed by the growing number of data and data types, data virtualization provides real-time integration with agility to access and integrate disparate sources with ease. For business professionals, Data Virtualization brings agile information access that in turn drives business agility. The webcasts provided in this channel by Denodo, the leader in Data Virtualization, provide the latest in common usage patterns, use cases, best practices and strategies for driving business value with data virtualization.