Big Data

Showing 1 - 10 of 96 pages tagged with: Big Data

Vizient Cuts Costs and Improves Member Services Using Denodo Data Virtualization

Download the document to see the full case study and how Denodo data virtualization technology helped this healthcare company.

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Value Adds of Modern Data Management and the Role of Big Data & Analytics

Podcast Guest: Mark Pritchard, Director of Sales Engineering (EMEA), Denodo

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Become More Data-driven by Leveraging Your SAP Data

In today’s world, management of data can be a major challenge. For many systems, including SAP, data in real-time and integrating it with other disparate sources has historically been difficult to accomplish. The traditional Data Warehouse approach can also be quite expensive to keep data fresh and control access to meet new and future data protection requirements. Denodo and Gateway Architect’s Meister Core™ offers a high-performance data virtualization solution, designed to fulfill those needs.

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Facilitating the Digital Transformation in Banking

Banks are Leveraging Data Virtualization to Enable Greater Agility in Responding to Customer NeedsThe banking industry is undergoing a massive transformation, driven by the need to provide advanced customer service. In a study of 107 global financial services decision makers, Forrester found that improving the customer experience was the top business requirement that drove the companies’ transformation needs, followed by the need to integrate channels and the need to provide innovative new products and services.Such a transformation is not trivial, as it affects the entire institution, on...

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Realizing the Promise of Self-Service Analytics in Manufacturing

Data virtualization is empowering business analysts in manufacturing enterprises to gain real-time access to integrated data across the entire organization

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Analyst Webinar: The value of Data Virtualization in a Data Mesh

Data mesh, data mesh, data mesh. WHAT IS IT??? How many times have we heard this name drop, yet do we really know how it works?In this webinar, you will learn from Mike Ferguson, an industry expert and the Managing Director of Intelligent Business Strategies, about what makes up a data mesh.

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Past, Present, and Future of Data Analysis Technology & Automation with Ravi Shankar of Denodo

In this edition of the UpTech Report, host Alexander Ferguson meets with the SVP & CMO of Denodo, Ravi Shankar, to discuss data virtualization and the future of big data.Through various use cases and examples, Shankar walks us through the exciting history of data analysis, what his company is currently up to, and where this is all going in the future. With Denodo’s data virtualization platform, companies can use modern data integration and management to sift through mountains of data to gain a unified view of the information faster, cheaper, and less effort.

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The Role of Logical Data Fabric in a Unified Platform for Modern Analytics (APAC)

Join us for a webinar based on TDWI’s recent Best Practice Report, Unified Platforms for Modern Analytics, where we will discuss the role of the logical data fabric in a unified platform for modern analytics, focusing on several of the key findings outlined in this report.

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Physical or Logical Data Fabric: Which One to Use and When?

What is a data fabric? Gartner defines it as “one architecture that can address the extreme levels of diversity, distribution, scale and complexity in organizations’ data assets that are adding tremendous complexity to the overall data integration and data management design.” But do you know that data fabric can be logical or physical? What’s the difference? Which one to use and when?In this session you will learn:What is a data fabric?How is a physical data fabric different from a logical data fabric?Which one should you use and when?What’s the underlying technology that makes up the data...

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Data Virtualization: From Zero to Hero (Middle East)

At the rate which enterprise data volume is increasing, replicating data to a central repository for analysis purposes is slow and expensive which might not even be a necessary part of the data integration process in many situations. With technologies such as data virtualization, companies can now place a single secure virtual layer between all disparate data sources (including both on-premise and in the cloud) on one side and various consuming applications on the other. Data replication for data integration is now an option and not a necessity.Join us for this webinar to become a "Data...

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