Data Services

Showing 11 - 20 of 24 pages tagged with: Data Services

Customer Case Study: Altus Analytics

In this video, Gordon Griffin, Chief Architect at Altus Analytics explains how they were struggling with unpredictable and slow delivery of new BI reports. Using data virtualization in their data architecture, they are able to provide reports to their customers in real time.This customer case study video will cover:Altus Analytics’s specific business challengeHow they used data virtualization to address this business challengeWhat the benefits of data virtualization are in their particular caseWhy they chose the Denodo platformHow they plan to utilize the Denodo platform and data...

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Modernizing Data Warehouse Through Data Virtualization

Denoder customer presentation by Alan Knox, Technical Operations Manager at Vancouver Coastal Health.

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Data Virtualization and the API Ecosystem

Working Together, These Two Technologies Enable Digital TransformationAt the heart of any digital transformation, no matter the industry or the size of the company, there is an API strategy. Application programming interfaces (APIs) are the connection points between one application and another, and as such, they enable applications to build on each other, extend each other, and work with each other. Taken together, APIs represent a thriving ecosystem of developers that is showing no sign of slowing down.

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Customer Case Study: Logitech

In this video, Avinash Deshpande, Chief Software Architect at Logitech explains how they were able to build a cloud solution using data virtualization which gave them access to their data in real-time.

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Accelerating Self-Service Analytics with a Unified Semantic Layer

Enabled by Data Virtualization, Unified Semantic Layer Promise Greater Efficiency through Common Definitions.To enable all business users, regardless of technical acumen, to derive value from self-service analytics tools, companies need to be able to provide access to the data through a unified semantic layer, which ensures that no matter the data source, users can access the data using common definitions that are standard, within each particular business culture. However, companies are unable to establish unified semantic layer because of the age-old challenge: Data is spread across multiple...

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Snowflake and Denodo: Cloud Data Warehouse Accelerator: Zero-Downtime Migrations to the Cloud

Data volumes are growing exponentially, and traditional, on-premise data warehouses are costly to scale. However, companies feel locked into these systems as they are often tied to business-critical operations. Cloud-based solutions are promising, but companies are reluctant to migrate from legacy systems, since this would result in costly downtime.Download this Denodo and Snowflake Cloud Migration Solution Brief to learn about:Migrating to Snowflake from legacy on-premises sources or from another cloud source, with zero-downtime.Building the foundation for a logical data warehouse or logical...

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Enabling Single View of Entities with Microservices

Schoeman Loubser, Information Architect, GetSmarter presents how GetSmarter are using microservices to improve their business intelligence.

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Mergers and Acquisitions Made Easy (And Successful)

Leverage data virtualization for seamless M&A that deliver expected gains.Companies engage in mergers and acquisitions (M&A) to gain new capabilities, reduce operational costs, eliminate competitors, and enter new markets. Unfortunately, most M&A eff orts fail to deliver the results that upper management expects.One reason for this high failure rate is that M&A activities need to be resolved as quickly as possible, since they carry a cost, yet they require complex integrations at the technology level, which take time. Employee and customer data, sales processes, and financial...

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Accelerate Your Business with a Logical Data Warehouse

Enhance your data warehouse with a logical data warehouse, for unbridled agilityBusiness depends on actionable intelligence, and for years this has been furnished by business intelligence tools, which pull the data from a data warehouse. Business stakeholders have come to expect that all of the relevant data is copied to the data warehouse, even if they sometimes have to wait a day for the latest data to arrive. The problem is, some of the newer sources of data, such as data from social media platforms, data from in-process transactions, or raw data about the movement of machines, is just not...

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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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