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Showing 1 - 10 of 12 pages tagged with: Denodo Platform 6.0
Connect, Combine, Publish Easily with Data Virtualization
The best way to understand the basics of data virtualization it to look at the product in action. Learn how to connect to multiple data sources, create a combination of diverse data sets and expose it to a reporting tool and as a web service. This information will also be available via the Information Self Service Tool, a web-based interface for business users, new to Denodo 6.0.
Denodo Platform 6.0 Whitepaper
The award winning Denodo Platform is already known for its broadest connectivity to structured, unstructured, and non-traditional data sources and universal applicability to both operational and analytical use cases. The recent release of Denodo Platform 6.0 delivers breakthrough performance in big data, logical data warehouse, and operational scenarios, accelerates solution adoption and expedites use of data by business users.The Denodo Platform 6.0 represents a significant breakthrough in data virtualization technology, with the introduction of the following key features:
Partner Enablement: Key Differentiators of Denodo Platform 6.0 for the Field
If you’re a Denodo Partner, this session is for you. Learn how to gain a competitive edge in the marketplace with Denodo Platform 6.0, and leverage off the new features and functionality. Complemented with a live demo of marketing and enablement resources, this is one session you won’t want to miss.
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESB
IT organizations find several challenges when responding to business needs. Data integration is paramount and this talk describes three different paradigms: using client-side tools, creating traditional data warehouses and the data virtualization solution - the logical data warehouse, comparing each other and positioning data virtualization as an integral part of any future-proof IT infrastructure.
Data Virtualization Deployments: How to Manage Very Large Deployments
This session will explore key features in the Denodo Platform that help with the common challenges found in large deployments: hundreds of developers, thousands of queries, and multiple environments. The features that will be highlighted include integration with version control systems, metadata synchronization and migration, monitoring and diagnosing, and resource management.
Data Virtualization Reference Architectures: Correctly Architecting your Solutions for Analytical & Operational Uses
Correctly Architecting your Solutions for Analytical & Operational Uses reviews the two main types of use cases that can be solved with the Denodo Platform. Both high concurrency scenarios and big reporting use cases will be discussed in a comparative way, explaining the different approaches that you must take to be successful in any situation.
Data Science: Expediting Use of Data by Business Users with Self-service Discovery and Search
In this session, Mark Pritchard, Sales Engineering Director at Denodo discusses how Denodo expedites the use of data by business users through its new self-service discovery and search capabilities.
Ten Pillars of World Class Data Virtualization
This session describes how to achieve a successful and mature enterprise data virtualization solution. You will learn the key attributes to look for in an enterprise DV platform, as well as the journey to maturity from an implementation perspective and how such a solution can impact your fast data-driven business outcomes.
Data Virtualization in the Cloud: Accelerating Data Virtualization Adoption
The Data Virtualization in the Cloud talk introduces our new Denodo Platform product: Denodo Platform for AWS. It will review the current data virtualization landscape, the new cloud deployment options that are being introduced with the Denodo Platform 6.0 and some examples of when it will be useful to deploy Denodo in the cloud.
What’s new in Denodo Platform 6.0
In this session Alberto Pan, CTO at Denodo, introduces the new functionalities of the Denodo 6.0 detailing dynamic query optimization engine, managing enterprise deployments, and using information self-service for discovery and search.