Logical Data Warehouse

Denodo customer presentation by Gerhard Lennox, Senior Data Engineer, 2U.

New technologies such as big data, cloud, and the Internet of things (IoT) are increasing the volume and variety of data every day, and companies still struggle with leveraging data assets in a meaningful way. Denodo, the leader in data virtualization, offers a modern, highly effective method for integrating data in real-time and providing a logical data catalog for business use. Wipro has deep expertise across a wide variety of industries, including manufacturing, banking, insurance, telecommunications, healthcare and energy, to enable companies to facilitate massive data management...

Forward-Thinking Agencies are Leveraging Data Virtualization to Gain Unprecedented Agility and Constituent ResponsivenessAs industries continue to engage in digital transformation, enabling people to interact with organizations in a more seamless, intuitive manner, people are naturally beginning to expect that government agencies will follow suit. In this solution brief, we illustrate how data virtualization can help to transform federal agency with respect to 5 core capabilities.Download this solution brief to learn:

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...

Kishan Shri, Advisor Business Intelligence, Erasmus MC-Netherlands presents the key takeaways that Erasmus University Medical Center learnt in the process of building their logical data warehouse.

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.

In this video, Mark Blanchette, VP of Business Technology and Data Management at Seacoast Bank discusses why they chose the Denodo platform to create their logical data warehouse and the benefits they have realized.This customer case study video will cover:Seacoast Bank's specific business challengeHow Seacoast Bank leveraged the data virtualization to build their logical data warehouse to solve their business challengeWhat the benefits of data virtualization are in their particular caseWhy they eventually chose to implement the Denodo Platform over other vendors after their formal POCHow...

The last 10 years we have focused on accumulating untold volumes of data-at-rest, predicted to grow to 40+Zetabytes by the end of the decade. The next frontier master is data-in-motion – the data that is flowing from billions of sensors that are instrumenting every machine, device and person. Unique actionable intelligence lives at the intersection of these two domains when IoT data meets machine learning and artificial intelligence. Hear how leading organizations harness next-gen connected data platforms to drive transformative data initiatives.Listen to Piet Loubser, VP of Product and...

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...

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...