Edge Computing: Collecting vs. Connecting to Streaming Data

The optimizer is one of the most complex parts of any big data engine; it must ensure that the execution engine is performing at its best, so understanding how it works is crucial.

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Denodo DataFest 2017 Demo: Centralized Self-Service Search and Discovery

Finding the right data within seconds is what matters most to analysts and decision makers. Data virtualization incorporates a rich business-user oriented information catalog and self-service interface to search, discover, model and collaborate.

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Denodo DataFest 2017 Panel: Why Self-Service BI is the Future

A discussion on the theme of why self-service BI is the future from our experts panel at Denodo DataFest 2017.

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Denodo DataFest 2017 Panel: How In-Memory Fabric Redefines Analytics Architectures

A discussion on the theme of how in-memory fabric redefines analytics architectures from our experts panel at Denodo DataFest 2017.

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Denodo DataFest 2017 Panel: Evolution of Data Virtualization from Data Federation

A discussion on the theme of the evolution of data virtualization from data federation from our experts panel at Denodo DataFest 2017.

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Data Virtualization in the World of Edge Computing

Organizations are empowering business users with actionable intelligence derived from data-in-motion, data-at-rest, and enterprise applications. Edge computing plays an important role in the IoT ecosystem since immediacy enables faster response to urgent conditions.

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Democratizing Data for Business Users with Self-Service BI

Business users come in all shapes and sizes. It’s imperative to understand who they are (e.g., data analysts, power users, executives or machines) and the data they need. Self-service initiatives can only be successful when business users’ views of the data are holistic, and consistent across distinct business functions.

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The Need for Speed and Agility in Business

Speed is everything. Businesses that move fast leave their competition in the dust. But one needs high performance architecture to enable it.

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Succeeding in Self-Service BI

Businesses are demanding more autonomy from IT to enable the creation the necessary reports and to perform analysis.

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Company Leadership from Data Leadership

Every single item on a company mission statement relates to data at some level. It is from the position of data expertise that the mission will be executed and company leadership will emerge.

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Data Virtualization for Modern Data Integration

Modern data integration relies on fast data strategy the ability to quickly make the data available to the business users in real-time.

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Get More Business Value with Certified Data Marketplace

Today's complex organizations will often have hundreds if not thousands of data repositories, distributed across on-premise stores and now the cloud. For data to become truly democratized, non-specialists and data natives need to be able to easily find and access data without requiring outside help.

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Integrating Big Data and Streaming Data with Enterprise Data

Big data projects are becoming mature and consistent. However, they remain siloed compared to the enterprise data. In addition, now new streaming data needs to integrated as well.

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Universal Semantic Models for Big Data Analytics

How productive would it be to create a universal semantic model that every reporting tool can use? This presentation will present such an approach to simplify support for any type of reporting tools.

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Trending Topics in BI and Data Management

As part of BARC's BI Trend Monitor 2018, 2,770 companies were asked to rate the importance of 20 trending topics. In this session, we will present the key factors for gaining value from data today.

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Lowering IT Costs with Big Data and Cloud Modernization

Organizations are fast adapting cloud to lower the IT costs, and increase agility.

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Enabling Single View of Entities with Microservices

Microservices is an advanced architecture for rapidly building applications using a suite of loosely-coupled modular services.

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Multi-zone Data Virtualization for Data Lakes

Data lakes is a great solution for storing tens of thousands of data sets for statisticians to perform their daily functions. But how do you make that data available in a format that makes sense to them?

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Denodo DataFest 2017 Panel: Logical Data Warehouse as the Future in Data Warehousing

A discussion on the theme of logical data warehouse as the future in data warehousing from our experts panel at Denodo DataFest 2017.

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Denodo DataFest 2017 Panel: Redefining Analytical Architectures with In-Memory Fabric

A discussion on the theme of big data analytics and edge computing from our experts panel at Denodo DataFest 2017.

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Denodo DataFest 2017 Panel: Big Data Analytics / Edge Computing

A discussion on the theme of big data analytics and edge computing from our experts panel at Denodo DataFest 2017.

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Modern Data Architectures Need Real-time Data Delivery

Companies that move fast, stay one-step ahead of the competition and avoid being gobbled up. Keeping this law of the jungle in perspective, companies are modernizing their data architectures with real-time data delivery capabilities.

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Performance Considerations in Logical Data Warehouse

When processing very large amounts of data at the speed of thought, performance questions raise their ugly head. Logical data warehouse architectures rival the conventional data warehouses in speed while reducing the need to extract, transform, and load the data.

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Conquering the Edge with Data Virtualization

No time like the present! That's one reason why edge analytics continues to grow in value and importance. With the right analytic architecture in place, companies can not only identify opportunities at the edge, they can take appropriate actions.

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Erasmus University: A Customer Case Study in Logical Data Warehouse

Healthcare organizations are constantly challenged with delivering high quality care while complying with strict regulations. Erasmus University Medical Center required the agility to quickly deliver BI products for its business users.

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Business Needs for a Fast Data Strategy

Fast Data is an absolute business need – it requires the access to the most up-to-date data in real-time to perform its business function best and be ahead of the competition. At Altus Analytics, the faster we can turn around the data, the faster we can accelerate the generation of revenue.

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Outpace Your Competition with Real-Time Responses

Today’s digital economy demands a new way of running business. Flexible access to information and responses in real time are essential for outpacing competition.

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Accelerating Analytics Architectures with Parallel In-Memory Processing and Data Virtualization

Which technologies increase real-time data delivery? Database and other technologies are taking on support for in-memory fabric to further boost the speed of data delivery in this impatient world.

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