Big Data

Showing 1 - 10 of 16 pages tagged with: Big Data

APIs in the Modern Data Ecosystem

Today’s enterprise data ecosystems look different than in the past. In retrospect, the idea of physically consolidating all data into a single location seems quaint. As digital business initiatives focus on exploiting data rather than merely storing it, the growing communities of savvy enterprise users demand connectivity to data assets wherever they exist, just like the Web. APIs have become a key way to use and share data for AI/ML analytic models and business processes.Attend this session and learn about:Common scenarios where APIs work well as data servicesEnabling users to tap into...

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A Successful Journey to the Cloud with Data Virtualization

A shift to the cloud is a common element of any current data strategy. However, a successful transition to the cloud is not easy and can take years. It comes with security challenges, changes in downstream and upstream applications, and new ways to operate and deploy software. An abstraction layer that decouples data access from storage and processing can be a key element to enable a smooth journey to the cloud. Attend this webinar to learn more about:How to use Data Virtualization to gradually change data systems without impacting business operationsHow Denodo integrates with the larger...

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Accelerate Self-Service Analytics with Data Virtualization and Visualization

Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.In this session, you will learn:Challenges faced by business usersHow data virtualization enables self-service analyticsUse case and lessons from customer successOverview of the...

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Accelerate Self-Service Analytics with Data Virtualization and Visualization

Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.In this session, you will learn:Challenges faced by business usersHow data virtualization enables self-service analyticsUse case and lessons from customer successOverview of the...

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Modernizing Data Architectures for a Digital Age Using Data Virtualization

Success or failure in the digital age will be determined by how effectively organizations manage their data. The speed, diversity and volume of data present today can overwhelm older data architectures, leaving business leaders lacking the insight and operational agility needed to respond to market opportunity or competitive challenges.With the pace of today’s business, modernization of a data architecture must be seamless, and ideally, build on existing capabilities. This webinar explores how data virtualization can help provide a seamless evolution to the capabilities of an existing data...

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Forrester Analyst Keynote: Driving Business Growth through Data Agility

Analyst presentation by Brian Hopkins, Vice President and Principal Analyst at Forrester Research.

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Industry 4.0 - The Data Driven Revolution Taking Place at Festo

Denoder customer presentation by Diethard Frank, Principle Consultant Information Management Business Intelligence Innovations, Festo AG & Co. KG.

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Analyst Keynote: Future Proof Data Architectures with Data Virtualization

Analyst Keynote by Rick van der Lans, Independent Analyst, Founder at R20 Consultancy

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Modernizing Data Architectures for a Digital Age Using Data Virtualization

There’s a wide range of reasons why many organizations are deciding to modernize their data architectures. But they all agree on one thing: by using data more effectively, more widely, and more deeply, they can improve and optimize business and decision-making processes that will help them stay competitive in the emerging digital economy.To prepare data architectures for the next evolution of analytics, the current systems that rely on physical data movement and redundant data storage, must be modernized. However, for it to be effective, modernization must be seamless and must not disturb...

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Data Virtualization Powers the Data Revolution at Festo

To continue the innovation that has always been at the forefront for Festo, the company needed to optimize operational efficiency, automate manufacturing processes, and deliver on-demand services to its business consumers.Download this case study to learn more about:How Festo needed an agile and robust way to integrate data from existing silos in a way that would reduce reliance on IT.How Festo found smarter ways to streamline how they aggregate and analyze data.How they were able to deliver enhanced insight across the business without having to physically move data.How data virtualization...

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