Data democratization refers to a method by which data-driven organizations can obtain the maximum value from their information resources. With the ever-increasing focus on the importance of enterprise data, democratization offers an appealing path for using data resources productively.
Data democratization describes the ongoing process of allowing everyone in an organization to comfortably - and securely - work with enterprise data assets.
Successfully democratizing data requires organizations to adopt three main principles:
The benefits of data democratization ripple through an organization and affect all of its departments and teams. Because of this, making data resources more readily available to every employee - in a manner compliant with data regulations - benefits the entire enterprise.
Through the democratization of data, organizations can:
A data fabric can be seen as the vehicle that enables an organization to efficiently democratize its data resources within a governance framework. Ideally, it is an all-encompassing analytics architecture that increases data availability while facilitating and securely managing its flow throughout the enterprise.
As with most vehicles, it’s made up of multiple components working together to achieve the objective.
The architectural components that comprise a data fabric are:
Implementing the complicated architecture of a data fabric requires multiple technical solutions. The technical requirements that must be successfully negotiated include:
Democratizing your data provides the means to enable all employees to get the most value from enterprise information resources. IDERA offers multiple solutions that address the specific steps involved in the creation of an enterprise data fabric.
ER/Studio is a suite of data modeling tools that provide the necessary functionality to accurately model both information and data and create an enterprise-wide data catalog. It enables organizations to undertake a collaborative data modeling approach. The physical and logical models derived from source data are essential when designing the EDW and ICP.
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WhereScape is valuable for the data integration and monitoring procedures that are essential components of a viable data fabric.
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Qubole is a versatile tool that can help teams perform the data preparation and monitoring necessary for the creation of a data fabric. It also serves as a platform for the real-time analytics that makes data fabrics valuable for decision-making.
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Aqua Data Studio is a versatile tool for data analysis and visualization with support for over 40 different database platforms. It provides a flexible means of extracting additional value from data resources by creating visualizations that make complex information accessible to any audience.
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Much more information on creating a data fabric can be found in this IDERA whitepaper. It provides an in-depth look into developing a data fabric that can be used to improve data democratization in any organization.
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