Data Virtualization

Showing 71 - 80 of 357 pages tagged with: Data Virtualization

Modernizing Integration with Data Virtualization

Today, businesses have more data and data types combined with more complex ecosystems than they have ever had before. Examples include on-premise data marts, data warehouses, data lakes, applications, spreadsheets, IoT data, sensor data, unstructured, etc. combined with cloud data ecosystems like Snowflake, Big Query, Azure Synapse, Amazon S3, Redshift, Databricks, SaaS apps, such as Salesforce, Oracle, Service Now, Workday, and on and on.Data, Analytics, Data Science and Architecture teams are struggling to provide the business users with the right data as quickly and efficiently as possible...

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Logical Data Fabric vs Data Mesh. Does it Matter?

Data Fabric and Data Mesh had been trending high in the data and analytics space, so what is a data fabric and what is a data mesh? How are they different and does it matter?In this session, Ravi Shankar, Sr. VP and CMO at Denodo, will address the market and analyst views of these two approaches and how they complement each other. His presentation will be followed by an insightful and engaging fireside chat with Mark L Johnson, Executive Director, Client Solutions at Fusion Alliance to further discuss what it all means in terms of value to the customer.Watch On-Demand and Learn:Concepts of a...

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Wie geht man mit einer komplexen Datenlandschaft um? Aufbau einer "Logical Data Fabric" mit Datenvirtualisierung (German)

Alberto Pan, CTO (Denodo Technologies) und Philip Moston, Principal Consultant für Data & Analytics (QuinScape), sprechen über den Umgang mit komplexen Datenlandschaften, in denen Unternehmen trotz vieler unterschiedlicher Datenquellen oder Anwendungen eine einheitliche Sicht auf Daten benötigen.Die beiden Experten diskutieren, wie man diese Komplexität mit Hilfe von "Datenvirtualisierung" und dem Aufbau einer logischen Datenstruktur bewältigen kann. Sie beleuchten die Geschichte der "Datenvirtualisierung" und erklären, wie dieses Konzept agile Szenarien in heutigen Datenarchitekturen...

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Adopting Data Virtualization for Flexible and Agile Data and Analytics Use Cases

Presented at Chief Digital Officer Asia SummitData virtualization goes far beyond self-service – it’s become an essential element for teams who have been forced to rethink data deliverability. The road to better data insights is not only dependent on data accessibility but is even more reliant on the guided approach for data discovery. The data landscape is vast and has become even harder to navigate. The ability to access your data is no longer sufficient, we need systems to guide us to the right data, and more importantly to enable us to ask better questions.In this session we will discuss...

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Simplifying Data Governance and Security with a Logical Data Fabric

In an increasingly distributed and complex data landscape, it is becoming increasingly difficult to govern and secure data effectively throughout the enterprise. Whether it be securing data across different repositories or monitoring access across different business units, the proliferation of data technologies and repositories across both on-premises and in the cloud is making the task unattainable. The challenge is only made greater by the ongoing pressure to offer self-service data access to business users.Data Virtualization allows the creation of a logical data fabric layer that not only...

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Adopting a Logical Data Architecture for Today's Data and Analytics Requirements

It’s almost impossible to find any organization that does not have data and analytics as one of their top priorities to further their business objectives. At the same time the data and analytics landscape is evolving faster than ever, making the data management ecosystem more complex than ever before. As data gets increasingly distributed across systems and locations, every forward looking organization should adopt a logical architecture to be future ready.Watch On-Demand and Learn: Key priorities of data and analytics leaders for business transformationWhy a monolithic and physical data...

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IDC Customer Spotlight: RMIT University

In tertiary education, there is an industry mandate to use data for better student experience and support, as education becomes increasingly personalised and is seamlessly delivered through in-person and online channels. This data is also vital for student safety and care —this was the case particularly during the COVID-19 crisis. The local government health department expected education providers to understand student contact tracing in real-time.  This IDC Customer Spotlight, sponsored by Denodo, details the journey taken by RMIT to overcome the challenges of their data silos with lack of...

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Partner Solution Brief: SevenVerbs and Denodo

Agility is a key element of today’s marketplace, whether the need is to adjust product offerings or improve delivery of services. We seek clarity and strive for practical solutions to complex business challenges.Seven Verbs and Denodo have partnered to combine seasoned Data Professionals with the industry’s most advanced data virtualization platform to simplify data access in support of the most critical business needs.

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Canadian Privacy Compliance Made Easy with Data Virtualization

Panel by François Gaudreau, National Lead-Intelligent Automation at KPMG; Inessa Gerber, Director of Product Management at Denodo; and moderated by Robert Eckersley, Director, Partner and Channels Sales at Denodo.

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The Power of Denodo for Data Services/API Management

Panel by Sathish TK, CTO at IQZ Systems; Aaron Werman, Senior Director of Data and Analytics at Techwave; Paresh Sansare, Cloud Data Practice Lead at CloudEQS; and moderated by Gary Shiller, Director - Partner & Channel Sales at Denodo.

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