Data Integration

Showing 51 - 60 of 112 pages tagged with: Data Integration

How to Simplify Rearchitecting Your Data Infrastructure with a Modern Cloud Data Integration

In Denodo’s global annual cloud survey, a majority 35% of respondents said that they were rearchitecting their data infrastructure to transition their legacy systems to the cloud. Such fundamental change to your existing architecture is like remodeling your home – it’s not easy!Many companies attempt to move all of the on-premises data into a cloud object storage using data migration/replication tools, then transform the data in it to the destination format, and then load the transformed data into their equivalent cloud data systems (like cloud data warehouse). This approach is no different...

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Data Virtualization: The Smartest Way To Creating A Data Marketplace

Presented at Data Analytics for Enterprise (Australia)Today most organizations rely on data-driven insights to make critical operational and strategic decisions. But given the complexity and vastness of the modern enterprise data ecosystem, finding the right data set and extracting actionable insights is an extremely complicated and time-consuming process.That’s where data virtualization can be used to abstract that complexity and introduce simplicity. Data Virtualization is a modern data integration technique that uses a single unified semantic layer to give you visibility into all of your...

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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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How Data Virtualization Accelerates Machine Learning and AI Projects

Presented at World AI Show 2021, PhilippinesIn AI/ML systems, applications or machines are set up to learn from new information, and gradually, over time, they acquire the intelligence to support day-to-day business processes and decision making. The more data they receive, the more they learn, and the more accurate their predictions are. However, extracting data from multiple sources and then replicating it to a central repository is the old and inefficient way. This approach results in 80% of the project time being spent on data acquisition and preparation tasks.Data virtualization is a...

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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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Data Virtualization ROI – Impact on Customer Organizations (APAC)

Presented at Data ROI Online APACGartner has predicted that organizations using Data Virtualization will spend 40% less on data integration than those using traditional technologies. Some of the Denodo customers have experienced time-to-deliver improvements of up to 90% within their data provisioning processes and cost savings of 50% or more. Join us for this webinar to discover how Data Virtualization can help accelerate your time-to-value from data while reducing the costs at the same time.Watch on-demand this session and learn how Data Virtualization:Has accelerated digital transformation...

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How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Logical Data Fabric (ASEAN)

Presented at Chief Data Officer Live Series 2021, ASEAN (August Edition)While big data initiatives have become necessary for any business to generate actionable insights, big data fabric has become a necessity for any successful big data initiative. The best-of-breed big data fabrics should deliver actionable insights to the business users with minimal effort, provide end-to-end security to the entire enterprise data platform, and provide real-time data integration while delivering a self-service data platform to business users.  Watch this on-demand session to learn how big data fabric...

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Examples of Delivering Data to Citizens by Dell & Denodo

In this webinar, industry experts discuss examples of Denodo and Dell delivering data services to informed citizens. Examples discussed include setting up processes for Drone Registration for the Airforce to more complex projects in terms of data integration and management such as information sharing for Pilots about the monthly configuration of airports. Some other interesting examples include but are not limited to data analytics for Housing & Urban development agencies and data management for healthcare systems across the USA.

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РАБОЧИЙ СЕМИНАР: Знакомство с виртуализацией данных для профессионалов в области данных (Russian)

Вы ИТ-менеджер, архитектор, специалист по данным, аналитик данных или CDO?  Присоединяйтесь к этой 1,5-часовой онлайн-сессии, чтобы узнать, что такое виртуализация данных, как она работает и каковы ее преимущества для вашей организации. Программа будет включать в себя введение в виртуализацию данных, основные сценарии использования, примеры из практики европейских клиентов и пошаговую демонстрацию возможностей платформы Denodo с помощью нашей бесплатной облачной версии Denodo Test Drive. Ознакомьтесь с полной программой для получения более подробной информации!

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How data virtualization democratises analytics across the organisation (A/NZ)

Presented at Chief Data Officer July 2021 (A/NZ)The current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL, and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML, and AI. Data Virtualization is a modern data integration technique in which a single semantic layer can be built containing semantic definitions of all of the underlying sources.Watch on-demand this session to understand how data virtualization:Helps organisations...

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