How-to-not-get-stuck-in-a-big-data-landslide
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We have entered an almost unprecedented era where data threatens to overwhelm us. We need efficient data management, but it all comes down to this: Without a way to simplify our consumption of this onslaught of data, businesses are in danger.

A Data Landslide
Businesses need data for decisions. But while one might assume that the more data, the better the decisions, it is not that straightforward. After all, owning more clothes does not necessarily make you more fashionable. Imagine opening your wardrobe only to be hit by a landslide of clothes – you would be hard pressed to find what you need for an outfit.

As data collections enter the realm of “big data,” it becomes increasingly difficult to hone in on the data that’s relevant to particular decisions. This is because enterprise data is stored across a variety of on-premise and off-premise depositories. To create real value with enterprise analytics, you need not only big data but also seamless access to that data. This is where data virtualization comes in.

Data Virtualization: It’s An Easy Decision
Data virtualization exposes complex, big data results in an easy-to-consume, virtual data layer. It can integrate data from within the enterprise, whether it be from traditional relational databases, multi-dimensional data warehouses, or flat files, and combine it with data from cloud applications; all this in real time. By creating an abstraction layer, data virtualization offers business users a simplified way to consume data while simultaneously shielding them from the underlying complexity of where that data is stored. This empowers business users to focus on analysis, and using the most relevant data in support of those all-important decisions.

Data virtualization offers a straightforward method for dealing with the complexity of big data, which is growing exponentially. It exposes the data that can give value to big data analytics, empowering business users in their decision-making.

For more information about how data virtualization solves big data challenges, watch this short animation:

Who Has Already Benefited From Data Virtualization?
Learn how the Denodo Platform helped Autodesk, Logitech, and Biostorage find real value in their big data.

Amy Flippant