Amazon Redshift

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A British Wealth Management Company Leveraged the Denodo Platform to Improve Customer Satisfaction and Business Agility

A British wealth management firm was looking for a modern data integration platform that could facilitate compliance with rapidly changing EU and UK regulations related to the financial market. In addition to having an on-premises legacy data warehouse, the company also established a substantial presence on Amazon Web Services (AWS) Cloud, and also had data stored on a bunch of other apps in the cloud, such Power BI, Salesforce, and Snowflake Cloud Data Warehouse.

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Customer Case Study: St. James’s Place Wealth Management

St. James’s Place Wealth Management was founded in 1991 and is now a FTSE 100 company, with over £143.1 billion of client funds under management. The company wanted to move to a more logical architecture from its 20 year old central data warehouse. In this video, Barney Eccleson, Head of Data Engineering, St. James Place Wealth Management, goes into detail about their data virtualization use case.This customer case study video will cover: ­St. Jame's Place's business challenge ­How they used data virtualization to address this business challenge ­What the benefits of data virtualization are...

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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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Customer presentation - Transitioning to Cloud Made Simple

Customer presentation - Barney Eccleson, Senior Data Engineer, St. James’s Place Wealth Management

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Autodesk: Data Virtualization as the Core of BI 2.0 Architecture Powered by Spark and AWS

Denodo customer presentation by Kurt Jackson, Platform Architect at Autodesk.

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Denodo & Looker - Enabling Real-Time Business Decisions with a Modern BI Solution

The combination of Denodo and Looker delivers a modern BI infrastructure built on the foundation of a logical data warehouse. By leveraging templated Looker Blocks for various data sources, getting started with analysis is amazingly fast.Download this solution brief to understand:The benefits of combining data virtualization with data analytics.The data architecture of the Denodo data virtualization platform and the Looker data analytics platform.How Denodo and Looker work together to deliver value to customers such as Ultra Mobile.

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Customer Case Study: Indiana University

In this video, Dan Young, Chief Data Architect at Indiana University, discusses how they used data virtualization to improve their decision-making across the university.

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Indiana University Case Study: Significant Improvements to Information Agility Across The University

Indiana University Improves Strategic Decision Making Across the Organization Using Data VirtualizationAs with most educational institutions, Indiana University (IU) has had a long history in business reporting and business intelligence, dating back to the days of the mainframe. Recently, the university began a new, multi-year project called the Decision Support Initiative (DSI), dedicated to helping IU improve decision making through enhanced data, models, and processes. DSI aims to improve access to data and analytic technologies, thereby providing transparency across the IU system, leading...

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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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Logitech Case Study: Successful Cloud Modernization with Denodo in the Cloud

For several years, Logitech had been developing and delivering data services for analytics using on-premises systems. But provisioning data services for business users has been reactive, time consuming, and inefficient. The company’s modern product and service offerings, such as security video analysis and smart home devices, required predictive analytics, real-time data analytics, and cognitive science. To gain these capabilities, and be able to offer the right service to business users at the right time, Logitech wanted to move IT operations to the cloud. Cloud technology would empower IT...

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