Big data modeling helps organize the complexities of big data, improves Business Intelligence (BI), and allows organizations to benefit from actionable insight.
It is an extension of data modeling - a technique used in many areas of the Information Technology (IT) world to gain a better understanding of enterprise data resources. Models help represent and uncover the complex relationships hidden in big data stores. Some of the benefits of data modeling include:
The amount of information available in the digital age can be overwhelming. The term Big Data was coined in 2001 to describe the growth of data streams and resources. It was originally associated with what are called the “Three Vs” (volume, velocity, and variety) which have been supplemented by a few more characteristics that all begin with the same consonant.
The “Three Vs” include:
The “Seven Vs” include the “Three Vs” plus:
Business Intelligence (BI) can be defined as using software and services to turn data into actionable insights that influence an enterprise’s strategic and tactical business decisions. Dedicated BI tools are used to access and analyze data so it can be used efficiently throughout a business. Effectively using enterprise data resources can provide an organization with a substantial competitive edge over market rivals.
Big data lives in big databases. Big data modeling is necessary to make the information available for use in BI systems and by consumers. Some changes in the way data modeling is performed may be required to get the most out of big data modeling and assets. Following are some of the characteristics of dimensional data modeling for big data.
Data modeling techniques can help organizations address the “Vs” that characterize big data. They make it easier to handle the volume, velocity, and variety that characterize big data. The veracity of data resources can be ensured with robust models and variability can be identified and addressed more easily.
Data models help design databases that can be used for visualizing the insights found in big data. The value of corporate big data assets is made accessible through data modeling and allows the information to be used to improve enterprise business intelligence.
IDERA’s ER/Studio family of data modeling tools offers organizations a suite of applications designed to help create conceptual, logical, and physical data models. Each tool is designed for a slightly different purpose and audience.
Business Architect enables the creation of conceptual and business process models that can be used to:
Data Architect provides the functionality required to perform many key data modeling activities such as:
Enterprise Team Edition is a collaborative tool that enables data models and metadata to be shared across an enterprise. Some of the activities it supports are:
ER/Studio can help organizations tame the challenges of modeling big data and enable the productive use of information resources to improve business intelligence. Take advantage of the benefits that data modeling can bring to your organization with these excellent modeling solutions.
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