Big Data

Showing 1 - 10 of 92 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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Physical or Logical Data Fabric: Which One to Use and When? (APAC)

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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¿Cómo implementar la analítica empresarial en tiempo real? (Spanish)

Las técnicas de análisis en tiempo real prometen enriquecer los análisis tradicionales de datos en tiempo real. Esto es clave para muchos escenarios, como la gestión de la cadena de suministro o la atención al cliente. La virtualización de datos es bien conocida por ofrecer conectividad en tiempo real a diversas fuentes y capacidades de federación: los dos ingredientes básicos para la analítica en tiempo real. Sin embargo, construir una estrategia en torno a estos conceptos puede ser un reto. A menudo se menciona el impacto de las fuentes de datos delicadas, la seguridad y los problemas de...

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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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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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Product Demonstration: APIs in the Modern Data Ecosystem

Chris Walters, Senior Data Solutions Consultant for Denodo, shows how data virtualization enables connectivity to data from anywhere through APIs to use and share data for business processes and AI/ML analytic models.Watch full webinar here.

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Myth Busters: I’m Building a Data Lake, So I Don’t Need Data Virtualization (ASEAN)

So you’re building a data lake to solve your big data challenges. A data lake will allow you to keep all of your raw, detailed data in a single, consolidated repository; therefore, your problem is solved. Or is it? Is it really that easy?Data lakes have their use and purpose, and we’re not here to argue that. However, data lakes on their own are constrained by factors such as duplication of data and therefore higher costs, governance limitations, and the risk of becoming another data silo.With the addition of data virtualization, a physical data lake, can turn into a virtual or logical data...

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Logical Data Warehouse: The Foundation of Modern Data and Analytics (APAC)

Companies are investing in data warehouse modernization and data lake projects for descriptive and advanced analytics; however, for the analysis to be holistic, today’s architects weave disparate data streams together, not only from these analytical sources, but also from operational, third party, and streaming data sources. Logical data warehouse is a modern architectural methodology that virtually combines all the data across the enterprise and makes it available to analytical and visualization tools that facilitate timely, insightful, and impactful decisions throughout the enterprise.In...

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Exploiting Big Data to Accelerate Digital Transformation: Government Sector Applications (Middle East)

A key aspect for achieving digital transformation is the data. Government organizations are well aware of the challenges that amount from increasing volume and velocity of data generation from multiple sources, such as enterprise applications, social media, integrated systems and sensory data. This webinar will discover how to utilize big data in the government sector and how to overcome data challenges to accelerate digital transformation.Key points:Digital transformation in the government sector.The importance of data in digital transformation.The challenges of big data.The concept of data...

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Myth Busters III: I’m Building a Data Lake, So I Don’t Need Data Virtualization

So you’re building a data lake to solve your big data challenges. A data lake will allow you to keep all of your raw, detailed data in a single, consolidated repository; therefore, your problem is solved. Or is it? Is it really that easy?Data lakes have their use and purpose, and we’re not here to argue that. However, data lakes on their own are constrained by factors such as duplication of data and therefore higher costs, governance limitations, and the risk of becoming another data silo.With the addition of data virtualization, a physical data lake, can turn into a virtual or logical data...

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