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Showing 1 - 9 of 9 pages tagged with: Data Management
Performance in a Logical Data Warehouse
This video focuses on the performance of a logical data warehouse.Pablo Álvarez, Principal Technical Account Manager at Denodo, tackles the topic of performance by explaining the elements of the Denodo Platform query optimizer. He then challenges myths about virtual performance by comparing the logical data warehouse with the physical data warehouse using standard benchmarking tests.Álvarez covers some technical details about specific features that increase the logical data warehouse performance, using examples such as multi-source query execution, intelligent caching and the optimized...
Logical Data Warehouse Customer Success Stories
Paul Moxon, Head of Product Management at Denodo, uses Autodesk as an example of a logical data warehouse customer success story. Autodesk is an American multinational software corporation that makes software for architecture, engineering, construction, manufacturing, media, and entertainment industries. To overcome various business and technology challenges and change their licensing model from conventional perpetual license to a subscription-based license, Autodesk implemented a logical data warehouse.
Common Patterns for a Logical Data Warehouse
Pablo Álvarez, Principal Technical Account Manager at Denodo, speaks about common patterns for a logical data warehouse based on experience with customers.He identifies six common patterns and explains each in detail, including the virtual data mart, data warehouse extended with master data, data warehouse extended with cloud data, integration of multiple data warehouses, data warehouse horizontal partitioning with historical data in cheaper storage, and data warehouse vertical partitioning with rarely used data in cheaper storage. This video is part of the Denodo Educational Seminar (...
The Logical Data Warehouse
What is a logical data warehouse? Paul Moxon, Head of Product Management, Denodo, describes a logical data warehouse as a data system similar to that of a traditional enterprise data warehouse, but one that also includes data from external sources. According to Moxon, the main motive for implementing a logical data warehouse is to improve decision making and reduce cost.Moxon presents the logical data warehouse architecture and explains how to build a virtual logical model of your data, connecting to different external repositories (Oracle, Teradada, Hadoop, NoSQL, MongoDB, etc.) by simply...
Session 1: CIOs Must Enable Business Agility via Modern Data Management in the Age of the Customer
In the last ten years, 75% of global 500 companies have fallen off the list. Why? They did not manage change well. For many, digital disruptors took their place with business models based on Internet connectivity, cloud-based applications, and mobile devices that connect everywhere. To help build the agile enterprise, CIOs must move beyond traditional technology agility, and become agile in ten dimensions of market, organization, and process. As data pervades in the age of the customer, modern data management principles including abstraction, data virtualization, logical data layer that...
International Data Management, Analytics and Business Intelligence Summit 2015
International Data Management, Analytics and Business Intelligence Summit 2015 examines trends in Business Analytics and Business Intelligence and suggests/shows how organizations should manage and govern all this data going forward. The conference will include sessions from industry analysts like Mike Ferguson, Claudia Imhoff, Barry Devlin and Rick van der Lans. Denodo will be part of the International Data Management, Analytics and Business Intelligence Summit 2015 with a dedicated booth and a panelist.
Data Virtualization for Data Governance
Data virtualization can be considered a strategic tool in today’s data integration toolkit. And having a centralized point of access to all kinds of information in the enterprise brings a multitude of benefits.