Logical Data Warehouse

Showing 41 - 50 of 58 pages tagged with: Logical Data Warehouse

Overcoming Cloud Limitations with a Hybrid Data Hub

Leveraging Data Virtualization to Supercharge Cloud DeploymentsOrganizations are moving to cloud-based infrastructure, to enable SaaS products and other service-oriented initiatives, and forgo many of the costs associated with maintaining on-premises infrastructure. But transitions to the cloud are not easy.As a first step, many organizations move data from multiple sources into cloud based data lakes, only to find that though the data is now stored in a single location, the data is still organized into silos. Organizations also find that security presents additional challenges, since the...

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Seacoast Bank Improves Business Process Efficiency Using a Logical Data Warehouse

Seacoast Bank is a growing community bank that has been in business for over 90 years, with growth coming both organically and through acquisitions. At the same time, the banking industry has seen major shifts in the way that customers would like to interact with financial intuitions driving a need for more sophisticated and integrated data. Seacoast embarked on a project that would give decision makers a holistic view of its entire banking operations. This integrated view of its operations was used by the various Seacoast departments to assist with risk mitigation, enhanced customer service...

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The Governed Data Lake – Putting Big Data to Work

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.

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Enterprise View of Data with Semantic Data Layer

Gaining an enterprise view of the data across different independent lines of businesses is difficult when the operations, systems, and data are inherently siloed. VSP Global is integrating the silos using a semantic data layer.

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The Power of Logical Data Lakes

Physical data lake solutions are constrained by factors such as duplication of data, governance limitations, and the risk of becoming another data silo. Data virtualization allows you to leave all of the source data in place, stored across myriad, heterogeneous systems, and establish a virtual, “logical data lake” for accessing all of the data.Download this solution brief to learn the benefits of a Logical Data Lake.

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Business Intelligence, Modernized: Cutting Edge Virtualization Technology Meets Advanced Implementation Expertise

SimplicityBI have successfully performed Denodo Platform implementations for a wide variety of companies, including Digital Realty, Fastaff, and TransAlta. Read this solution brief to learn about their recent customer success stories, and how Denodo and SimplicityBI have teamed up to help their customers implement solutions that impact the bottom line.

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Data Services – Rapid Application Development using Data Virtualization

Enverus uses data virtualization to manage and quickly provision data to the product development team and its customers. Enverus will present how they have created a virtual data abstraction layer using data virtualization and reduced creation of web services for application development time from 1 – 2 weeks to less than a day. For more information on how Enverus used the Denodo Platform, visit their customer page

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Supporting Data Services Marketplace using Data Virtualization

Data is treated truly as an asset at Guardian Life. We have created a Data Services Marketplace which contains valuable data from the underlying sources and is used by business users for day-to-day operations. In this presentation we will talk about how Data Virtualization can be used to support the marketplace with real-time data services, provision non real-time data into Hadoop, and swap underlying sources without affecting business users.

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Data Virtualization for Compliance – Creating a Controlled Data Environment

CIT modernized its data architecture in response to intense regulatory scrutiny. They will present how data virtualization is being used to drive standardization, enable cross-company data integration, and serve as a common provisioning point from which to access all authoritative sources of data.

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Data Virtualization Journey: How to Grow from Single Project to Enterprise Adoption

Data virtualization is an agile technology that can be deployed for multiple use cases within a company. In this presentation, Intel will present their journey, starting small and growing Data Virtualization to an Enterprise IT enabling use cases such as samples management, cloud, and big data for sales and marketing.

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