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Showing 1 - 10 of 17 pages tagged with: Denodo DataFest 2016
Partner Enablement and Go-To-Market
Join the partner team to learn how you can deliver new value to clients and build your business with Denodo. In this session, we will discuss best practices and improvements on: Partner Enablement & TrainingDeveloping joint go-to-market solutions (horizontal or vertical)Coordinated solutions delivery to ensure customer successThis session is part of the Denodo DataFest event. You can also access other Denodo DataFest sessions here.
Pathway to Data Virtualization Maturity
Denodo services team brings extensive experience to help our clients address both big and small data challenges. Please join us in this session to learn how to exploit data virtualization for both simple and complex use cases.In this session, you will learn:How to establish the foundation required for data virtualization in your organizationHow to assess and improve maturity of data virtualization solutionsThe pathway to advanced data virtualization use cases, and the guiding principles for establishing center-of-excellenceThis session is part of the Denodo DataFest event. You can also access...
ROI Justification in Data Virtualization
There are two sides to the ROI coin. One is TCO and the other is business impact. In this session, we will explain how to justify and measure the ROI for data virtualization, and share examples of authentic business benefits realized by our key customers. If you need help justifying the investment, don't miss this session!In this session, you will learn:How data virtualization is used to leverage data as a strategic asset, and to monetize dataHow to justify and measure ROI for data virtualization solutionsExamples of business benefits realized by our key customersThis session is part of the...
The Role of Data Virtualization in IoT Integration
Connected use cases are gaining momentum! Data integration is the foundation for enabling these connections. In this session, you will experience first-hand our customer case studies and implementation architectures of IoT solutions.In this session, you will learn:The role of data virtualization in enabling IoT use casesHow our customers have successfully implemented IoT solutions using data virtualizationHow our product complements other IoT technologiesThis session is part of the Denodo DataFest event. You can also access other Denodo DataFest sessions here.
Comparing and Contrasting Data Virtualization With Data Prep, Data Blending, and Other Technologies
Data prep and data blending are terms that have come to prominence over the last year or two. On the surface, they appear to offer functionality similar to data virtualization…but there are important differences!In this session, you will learn:How data virtualization complements or contrasts technologies such as data prep and data blendingPros and cons of functionality provided by data prep, data catalog and data blending toolsWhen and how to use these different technologies to be most effectiveThis session is part of the Denodo DataFest event. You can also access other Denodo DataFest...
Metadata and Data: Search and Exploration
What matters the most for analysts and decision makers is finding the right data within seconds. Data virtualization incorporates a rich metadata catalog and graphical interface for the self-service usersIn this session, you will learn:How to discover, search, explore, curate and share trusted data assets in a governed mannerHow to view and utilize the complete lineage of data assetsWays to infer patterns in data and metadataThis session is part of the Denodo DataFest event. You can also access other Denodo DataFest sessions here.
Data Science: Operationalizing Analytical Models in Real-time with Data Virtualization
Data virtualization starts with democratizing data access for business users, but goes well beyond to enable entire analytics lifecycle. This session will discuss the critical role of data virtualization in the four key phases of big data analytics: Discovery of raw and enriched data, Analytic Exploration, Real-time Operationalization, and Predictive Intervention.In this session, you will learn:Design of advanced analytics with view towards business goal realizationThe role of data virtualization in enabling analytics through four key phasesHow to exploit product capabilities relevant to each...
What’s New in Denodo Platform – Demo and Roadmap
Curious about product roadmap? In this session, we will review some of the new key features introduced this year in the Denodo Platform in areas such as performance, self-service, security and monitoring. We will also take a sneak peek at the most exciting features in the roadmap for Denodo 7.0.In this session, you will learn:New performance-related features in big data scenariosNew governance and self-service featuresNew connectivity, data transformation, and enterprise-wide deployment featuresThis session is part of the Denodo DataFest event. You can also access other Denodo DataFest...
The Governed Data Lake – Putting Big Data to Work
Data lakes are en vogue, especially when you based it on avant-garde in-memory technologies such as Spark. However, these investments don’t deliver the anticipated benefits when they are not properly governed in conjunction with legacy data warehouses and other data source.In this presentation, the Enterprise Architect at Autodesk, Mark Eaton will present:The philosophies behind agile, modern (Spark-based) data architecturesHow to use a logical data warehouse/ data lake as part of the data governance strategyBuilding an information architecture – dos and don’tsThis session is part of the...
Logical Data Lakes: Performance Considerations
For big data analytics, is it possible to achieve performance with a logical data architecture similar to that achieved with a physical architecture (i.e. all the data has been previously replicated in the same location)?In this session, you will learn:Ways to exploit logical data architectures for big data analyticsHow to attain outstanding performance for very large data sets (billions of rows) through “move processing to the data” paradigmDesign patterns from customer implementations.This session is part of the Denodo DataFest event. You can also access other Denodo DataFest sessions here.