Hadoop

Showing 1 - 10 of 22 pages tagged with: Hadoop

Facilitating the Digital Transformation in Financial Services

What technology are banks leveraging to drive greater agility and innovation in the face of constant change?Financial services industries are undergoing massive digital transformations, driven by the need to maintain their competitive advantages against traditional and new fintech challengers.Such transformations are challenging and can affect the entire institution on many levels. This whitepaper will look at ten such areas explaining what advancements you need to consider in each area.Download this solution brief to learn more about the following:

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Ultra Mobile Case Study: Leveraging Denodo’s Data Virtualization and erwin® Data Intelligence by Quest® Platform to transform into Data Driven Organization

Ultra Mobile’s mission is to connect the world by offering international voice communication of the best quality for the lowest possible cost. The company was going through a tremendous growth phase. However, the rapid growth put a strain on Ultra Mobile’s BI infrastructure, hindering the company’s ability to answer basic questions about the health of the business and how best to retain customers.Ultra Mobile needed to de-mitigate risk for unmanaged changes like data gaps between different departments and managed changes like difficulty integrating data documentation for each project. There...

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Denodo & Cloudera - Data Virtualization for Big Data

This brief explores CDH and the Denodo Platform, and how these technologies process, integrate and make information available to consuming applications in a manner that is meaningful to the business.

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Denodo Platform for AWS

The Denodo Platform for AWS accelerates the adoption of data virtualization with ready-to-use software on the scalable Amazon platform.

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Denodo Cloud Solutions

Enabling Companies to Maximize Cloud ROICompanies are rapidly adopting cloud technologies to gain greater agility and scalability. However, though cloud technologies surmount many challenges, they can also present a few of their own. Data virtualization is a technology that overcomes each of these challenges, enabling companies to gain the maximum benefits from cloud initiatives.Download this solution brief to learn more about the following:

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Overcoming Telecommunications Challenges with Data Virtualization

With data virtualization, telecommunications providers are driving profits and reducing churn.Telecommunications providers are under constant pressure to compete in an increasingly crowded marketplace for customers who are increasingly difficult to retain. Subscribers are always in search of the latest and greatest services, and will quickly gravitate to the provider with best offer, the best customer service, and the widest, most available network coverage.Download this solution brief to learn more about the following:

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CCPA - Leveraging Data Virtualization to Protect Data Privacy

The concern for data privacy is a global concern and like the European Union’s General Data Protection Regulation (GDPR), the California Consumer Protections Act of 2018 (CCPA), will regulate the ways in which businesses must protect personal information.

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Industry 4.0 - The Data Driven Revolution Taking Place at Festo

Denoder customer presentation by Diethard Frank, Principle Consultant Information Management Business Intelligence Innovations, Festo AG & Co. KG.

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Data Virtualization for Oil and Gas Companies

Oil and gas companies are leveraging data virtualization to gain unprecedented efficienciesRecent years have been particularly challenging for oil and gas companies. Priced at just over $50 per barrel in 2016, brent crude oil had been priced at $115 just five years ago, and this harsh reality has affected the operational strategies of oil and gas companies around the globe. Savvy oil and gas companies are actively seeking areas of inefficiency that they can invigorate, as often, data cannot be leveraged because it is poorly integrated.Download this solution brief to learn more about:

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Leading Construction Equipment Manufacturer Improves Service Delivery and Revenue Using Data Virtualization

To engage in proactive field maintenance and service delivery, The Company heavily invested in modern tools and technologies for telematics and predictive analytics. In addition, since The Company depends heavily on part data from the field for predictive analytics, it invested in field sensors and big data technology.All this data, captured several times an hour, is then streamed or transferred into a data lake. The company needed an agile data integration and access layer, one that can easily integrate big data with other sources of enterprise or cloud data in real time. Download this case...

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