Showing 1 - 10 of 16 pages tagged with: Autodesk
Autodesk created a single, unified enterprise access point for any data used within the company by using Denodo data virtualization as a logical data warehouse. Download this case study to learn how this strategy successfully transformed their revenue model from perpetual licensing to subscription based licensing and improved their entire organization's agility, performance and profitability.
Data lakes are en vogue, especially when you based it on avant-garde in-memory technologies such as Spark. However, these investments don’t deliver the anticipated benefits when they are not properly governed in conjunction with legacy data warehouses and other data source.In this presentation, the Enterprise Architect at Autodesk, Mark Eaton will present:The philosophies behind agile, modern (Spark-based) data architecturesHow to use a logical data warehouse/ data lake as part of the data governance strategyBuilding an information architecture – dos and don’tsThis session is part of the...
Many firms are adopting “cloud first” strategy and are migrating their on-premises technologies to the cloud. Logitech is one of them. They have adopted the AWS platform and big data on the cloud for all of their analytical needs, including Amazon Redshift and S3.In this presentation, the Principal of Big Data and Analytics team at Logitech, Avinash Deshpande will present:The business rationale for migrating to the cloudHow data virtualization enables the migrationRunning data virtualization itself in the cloudThis session also includes a panel discussion with:
Modern data architectures provide agile business solutions at a faster pace. Intel built a modern data architecture with data virtualization at its core for not just one, two, or three projects but a host of them that span the entire enterprise and support important business operations such as supplier lifecycle management.In this presentation, the Enterprise Architect at Intel for data virtualization, Josh Wise will present:The need for agility and speed in a large enterpriseHow Intel built a data virtualization architecture at an enterprise scaleDos and don’ts of building a data...
Companies such as Autodesk are fast replacing the once-true- and-tried physical data warehouses with logical data warehouses/ data lakes. Why? Because they are able to accomplish the same results in 1/6 th of the time and with 1/4 th of the resources.In this webinar, Autodesk’s Platform Lead, Kurt Jackson,, will describe how they designed a modern fast data architecture as a single unified logical data warehouse/ data lake using data virtualization and contemporary big data analytics like Spark.Logical data warehouse / data lake is a virtual abstraction layer over the physical data...
Autodesk designed a modern data architecture that heavily uses data virtualization to integrate both legacy data sources and contemporary big data analytics like Spark into a single unified logical data warehouse. Attend this presentation to learn how you can build a logical data warehouse using data virtualization and create a single, unified enterprise-wide access and governance point for any data used within the company.
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.
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Implementing a Fast Data Strategy requires many technologies including data virtualization, big data, BI, cloud, and so on. In this interactive panel, experts from Forrester, Autodesk, and Hortonworks debate how these technologies come together to deliver tangible business value. Hear market analysis from Forrester, real-time implementation from Autodesk, and big data use from Hortonworks.