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Showing 1 - 10 of 64 pages tagged with: Data Virtualization
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 in conjunction with legacy data warehouses and other data source.In this presentation, the Enterprise Architect at Autodesk, Mark Eaton will present:The philosophies behind agile, modern (Spark-based) data architecturesHow to use a logical data warehouse/ data lake as part of the data governance strategyBuilding an information architecture – dos and don’tsThis session is part of the...
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 a conglomerate operating different businesses across eyewear insurance, manufacturing, and retail. They are integrating the silos using a semantic data layer.In this presentation, the Enterprise Data Architect at VSP Global, Tim Fredricks will present:The challenges associated with data siloed across different LOBsHow to build a semantic data layer using data virtualizationCentralizing business rules in the data...
How Virtualization Can Help in the Journey to the Cloud
The shift to the cloud is ubiquitous these days; from specialized applications like CRMs and online marketing tools to full deployments of EDWs in the cloud. While cloud deployments carry obvious benefits, they also create new data siloes and security challenges. At the same time, on-premises systems usually coexist with cloud solutions, creating new hybrid architectures.In this session, we will explore how data virtualization can help in the transition to a cloud-centric architecture by reducing time-to-data and TCO, and adding the security needed once your data leaves the comfort of your...
2-Step Process to Boost Business Productivity using Real-time Data Virtualization and MDM
As organizations grow, businesses productivity declines – customers churn due to mediocre support, cross-sell and up-sell opportunities are missed due to lack of customer insight, and ROI from marketing campaigns declines due to poor targeting. And, the root problem might not be people, but DATA – you might not have a consistent and complete view of the customer. MDM and data virtualization together provide the complete customer context – a single view of the customer along with associated transactions. With it, companies can instantaneously reduce customer attrition, increase revenue with...
Accelerating Business Value with Data Virtualization Solutions
Organizations for all sizes and types face significant data integration challenges today. New data storage and processing technologies, such as Hadoop, Spark, etc., can offer organizations with more insights and actionable information to help drive their operations.  However these new technologies also raise challenges; how can I best leverage this ‘new data’? How can I better utilize my existing data assets? How can I simplify the use of external data? And so on. Data virtualization can help address these challenges by enabling modern flexible data architectures such as data lakes and...
A Strategic Journey to Simplify Complex Data Integration
     A case study by the Johannesburg Stock ExchangeDenodo and Hoonar Tekwurks Consulting have joined forces to develop this webinar with the purpose of introducing data virtualization, its features and benefits to the wider business community in South Africa through a customer case study by the Johannesburg Stock Exchange (JSE) presented by Zakeera Mahomed, Lead Enterprise Architect and Chester Enslin, Application Portfolio Manager at JSE.Data virtualization facilitates and expedites access and exploration of important data in a timely and cost-effective manner, enabling organizations to...
A Survey-based Research Perspective: Fulfilling the Promise of Data Lakes
 Manage your data lakes using data virtualization to overcome the challenges of big data and power your analytics with reliable insights.
Fastaff Selects Denodo Platform for Data Virtualization to Accelerate Nurse Placement and Recruitment
Palo Alto, CA, August 2, 2016 - Denodo, the leader in data virtualization software, today announced that Fastaff Travel Nursing and U.S. Nursing Corporation have selected the Denodo Platform for Data Virtualization to accommodate rapid growth and a need to find innovative technology partners to empower enhanced efficiency. Denodo integrates disparate data sources to enrich an individual nurse profile record, allowing Fastaff and U.S. Nursing to quickly identify the nurse’s capabilities and match him or her to urgent needs at hospitals around the country.
Noted Independent Research Analyst and Industry Strategist to Head Product Marketing at Denodo
PALO ALTO, CA, June 30, 2016 – Denodo, the leader in data virtualization, today announced that Lakshmi Randall has joined the company as head of product marketing. In this role, Randall will lead Denodo global product marketing efforts and report directly to Ravi Shankar, CMO. Randall brings over 19 years of experience in information management and analytics product marketing, research, and analysis of emerging and disruptive industry trends. She was also instrumental in guiding vendors’ product evolution strategies.
Data Services Marketplace Customer Success Stories
In this video, Paul Moxon, Head of Product Management at Denodo, presents data services marketplace customer success stories, using DrillingInfo and Guardian Life as main examples.  DrillingInfo is a SaaS based platform that provides business intelligence and decision support technology, and Guardian Life is a large mutual life insurer.  Moxon goes over the each company’s initial challenges, the reference architectures used in their deployments, and how they created their data services marketplaces.  This video is part of the Denodo Educational Seminar (recorded in New York on June 2016). ...