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What is Big Data

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Big data has become a widely used concept in a short time. On this page you can read what exactly is meant by it, based on the views and descriptions of various BI specialists.

Data becomes information

An expert sees big data more as a 'New Window of Opportunity' than as a 'Game Changer'. Companies need information to be able to anticipate and actually deliver added value to customers / suppliers and other stakeholders. Information is collected from various sources, both within and outside the organization. big data is a container concept. It indicates that the amount of data from which information is collected is increasing; in volume and type of data. The collection of information from, among other things, streaming data and unstructured data is also increasing. In short, big data offers the possibility of extracting information from sources that can't yet be analyzed with the current means. It doesn't replace your current analytics environment but offers the possibility to meet your increasing information needs.

More and more big data

Big data is a cover term for the exponential growth of data in the world. Because this growth is mainly in logs and unstructured data, big data is sometimes mainly used to refer to it, but all data, including video and structured databases, is growing. The Big in the concept mainly tells us that more and more effort is needed to deal with this growing amount of data: that amount is beyond us. The percentage of valuable data in big data is decreasing: the most important question is therefore how gold can be found in that huge mountain of data.

Characteristics

The main characteristics of big data are: the large amount of data, the speed at which the data is generated, the variety of types of data (examples are the millions of Twitter messages, purchase data, locations visited, published photos, kilometers driven, etc.). structured form (think of retail transactions per store and energy measurements per household), and appear as unstructured (think of blogs, status updates on social networking sites, photos and reviews about products and services) And what is it not? for example CRM systems.

Knowledge and information

Big data is the enormous growth of data that organizations are going through in recent years. Knowledge and information is stored in more and more different systems, so that employees spend a lot of time retrieving the right information to make decisions. It doesn't mean simply storing files and information on a network drive.

More complex data

What they said at SAS: We define big data as "The situation where the amount, speed and variation of data exceeds the normal storage and processing capacity of an organization". This reduces the ability of the organization to make correct decisions quickly. Another nice definition describes the concept as "any situation where the use and processing of data takes you outside of your comfort zone". While stories are quickly about the amount of data, that's not the most important thing. The essence of big data is in the combination of growing volumes and the complexity of the data.

Consider, for example, unstructured data that comes from social media and call center reports. The challenge isn't only to be able to quickly process not only structured data, but also unstructured and semi-structured data with which better decisions can be made. The variety of data streams, the resulting complexity and the ability to extract relevant insights from this form the core of the challenge.

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