Data as a Service

Showing 1 - 4 of 4 pages tagged with: Data as a Service

Accelerate Data Delivery via Secure Data Exchange

Today’s evolving data landscape has spawned new business challenges that require innovative solutions. Business decision makers need clean, curated and data driven information that is custom-fit to their goals, so that when it arrives, it is immediately intelligible. One of the ways data can be made available to business users immediately is through data-as-a-service (DaaS), which is exposed in the form of an API.Download this solution brief to learn:The key challenges in providing DaaS in a secure and governed fashionQuick introduction to Denodo ProfessionalReference solution architecture of...

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Future of Data Strategy (ASEAN)

You will often hear that "data is the new gold"? In this context, data management is one of the areas that has received more attention from the software community in recent years. From Artificial Intelligence and Machine Learning to new ways to store and process data, the landscape for data management is in constant evolution. From the privileged perspective of an enterprise middleware platform, we at Denodo have the advantage of seeing many of these changes happen.In this webinar, we will discuss the technology trends that will drive the enterprise data strategies in the years to come. Don't...

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Three Dimensions of Data as a Service (Middle East)

Today’s evolving data landscape has spawned new business challenges that require innovative solutions. These challenges include:Strategic decision-making, which relies on multiple perspectives such as social and economic factors that require combining internal and external data.Accounting for the increased volume and structural complexity of today’s data, and increased frequency required in delivering data assets.Coping with data silos that house data that must be combined and provisioned to support decision-making.Exposing purpose-built analytics, such as supply chain, for consumption in...

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Data-as-a-Service (DaaS) for Business Decision Makers

Leverage Data Virtualization to Turn Raw Data into Actionable IntelligenceBusiness decision makers are not analysts, but they are often called upon to play the role of analysts by poring over tables of raw data to derive actionable insights. Ultimately, business decision makers need more than raw data; they need clean, curated information that is custom-fi t to their goals, so that when it arrives, it is immediately intelligible. In short, what they need is data-as-a-service (DaaS).Download this solution brief to learn more about:

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