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Showing 51 - 60 of 11278 results
Denodo Platform pour Google Cloud Platform (GCP) accélère l’intégration des données en utilisant l’approche de data virtualization sur GCP et les environnements multi-clouds
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Realizing the Promise of Self-Service AnalyticsSelf-service analytics promises to liberate business users to perform analytics without the assistance of IT, and this in turn promises to free IT to focus on enhancing the infrastructure. Download this solution brief to learn more about the following:
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A leading global retailer was looking to strengthen its product and pricing strategies by leveraging competitor product and pricing data available on the web, but faced challenges in scaling the manual data acquisition process.
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Since 2014, Denodo and SimplicityBI have been partnering to streamline digital transformation for customers. Since then, SimplicityBI has been involved in over 20 implementations of the Denodo Platform for clients across North America.
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Organizations continue to struggle with integrating data quickly enough to support the needs of business stakeholders, who need integrated data faster and faster with each passing day. Traditional data integration technologies have not been able to solve the fundamental problem, as they deliver data in scheduled batches, and cannot support many of today’s rich and complex data types.
https://www.denodo.com/en/document/whitepaper/data-virtualization-modern-data-integration-solution-1
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One of the critical ideas behind data fabric is the capability to access any data asset in the organization through a central, easy-to-use access point. This can be achieved using a data virtualization layer that abstracts the complexity and offers a central access point.
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Companies are focusing on their online business more than ever before, which means they are investing heavily in digital transformation. This includes a focus on “The Customer”, their needs and insights. Customers have a choice, switching is easy and customer loyalty is cheap, this makes it even more important to know your customer and deliver to their requirements.
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Before deploying a Data Virtualization solution, there was no direct access to the telecommunication operators systems nor was there any standards or interfaces for automatic information exchange and synchronization (activations, migrations, etc).In order to execute their required business processes via the Web, The Phone House needed to resolve a series of technical difficulties:
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Josh Wise, Enterprise Architect for data virtualization at Intel presents how 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.
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Pantex Case Study: How Pantex Leveraged Data Virtualization to Reduce Training, Licensing and Maintenance Costs
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