Coffee + Demo: Connect, Combine, Publish Easily with Data Virtualization
Understand what data virtualization is and how the advanced capabilities of Denodo 7.0 can accelerate your fast data strategy.
Coffee + Demo: Self-Service Information Consumption Using Data Catalog
Learn how Denodo's Data Catalog bridges the knowledge gap by providing data lineage, descriptions, and governance. You will also learn how business users can refine queries without SQL knowledge.
Coffee + Demo: Parallel In-Memory Processing and Accelerating Analytics Performance
This Demo will demonstrate the capabilities of the Denodo Platform in the context of parallel in-memory processing and how data virtualization can accelerate analytics performance.
Coffee + Demo: Connect, Combine, Publish Easily with Data Virtualization
Coffee + Demo: Self-Service Information Consumption Using Data Catalog
Coffee + Demo: Self-Service Information Consumption Using Data Catalog
Learn how Denodo's Data Catalog bridges the knowledge gap by providing data lineage, descriptions, and governance. You will also learn how business users can refine queries without SQL knowledge.
Virtual Data Lakes: Rethinking the Data Lake with Data Virtualization
Anastasio Molano
Senior VP
Logical architectures are the natural evolution of the modern analytics ecosystem according to the main industry analysts. The Virtual Data Lake follows this architecture and it is comprised of a physical data lake plus a data abstraction layer based on Data Virtualization. It offers numerous advantages both to data science practitioners as well as to business users, expanding the scope of the data lake to include data from other relevant sources such as EDWs and SaaS/Cloud, providing better governance and security to the data lake, exposing data in a friendly manner for any kind of users for easy exploration and discovery, and leveraging the power of the physical lake in terms of processing and storage.