Showing 1 - 10 of 19 pages tagged with: Logical Data Warehouse
By Independent Industry Analyst Rick van der LansOrganizations can no longer afford to rely on a traditional data warehouse solution to support new business intelligence (BI) requirements along with their existing BI workloads. The rigid development, operation, and management process that characterizes traditional solutions is insufficient to support new BI requirements such as fast and agile report development, investigative analytics, data science and self-service BI.
Organizations for all sizes and types face significant data integration challenges today. New data storage and processing technologies, such as Hadoop, Spark, etc., can offer organizations with more insights and actionable information to help drive their operations. However these new technologies also raise challenges; how can I best leverage this ‘new data’? How can I better utilize my existing data assets? How can I simplify the use of external data? And so on. Data virtualization can help address these challenges by enabling modern flexible data architectures such as data lakes and...
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.
In this session Alberto Pan, CTO at Denodo, covers the "Architecture and Performance Considerations in the Logical Data Lake." He explains in detail what a Data Lake Architecture looks like, how data virtualization fits into the Logical Data Lake, and goes over some performance tips. This session concludes with an example demonstrating this model's performance.
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.
In this presentation, executives from Denodo preview the new Denodo Platform 6.0 release that delivers Dynamic Query Optimizer, cloud offering on Amazon Web Services, and self-service data discovery and search. Over 30 analysts, led by Claudia Imhoff, provide input on strategic direction and benefits of Denodo 6.0 to the data virtualization and the broader data integration market.
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.
Business NeedAutodesk decided to transform its revenue model from a conventional perpetual licensing model to a subscription-based licensing model. Autodesk’s infrastructure was set up for managing the perpetual licensing model and was unable to meet the demands for business information and agility required to meet their transition to a new licensing model.The SolutionAutodesk needed an agile BI 2.0 architecture with a logical data warehouse at its core to track subscriptions, renewals, and payments. Data virtualization helped Autodesk integrate new transactional systems that manage...
LAREN, HOLLAND - November 3, 2015 - Today Kadenza announced its strategic partnership with Denodo, the leader in data virtualization software. Using the Denodo Platform as the core solution, Kadenza plans to offer a logical data warehouse solution, which will enable its customers to efficiently provide deeper insights across all enterprise data sources while flexibly reacting to changes.