Data Integration

Can Data Fabrics Improve Data Transformation?

Enterprises are making significant progress on the data management front. However, companies should work forward to manage the unstructured data and improve digital transformation journey. Data fabric can prove to be of great help in this. In her article for ‘TechRepublic,’ Esther Shein shares how data fabrics can improve data transformation for modern enterprises.

What are Data Fabrics?

Experts define Data fabrics as a digital concept that instructs and automates the design, deployment, and usage of integrated and reusable data formats, irrespective of the deployment platforms and architectural methods. It allows users to construct an agile, elastic, and measurable data design that produces comprehensive results for both machines and humans.

Exploring Data for Digital Transformation

Shein believes that the companies’ relationships between data and digital transformation remain a challenge for the CIOs. There are times when the most structured data can seem vague and complex. Data fabrics’ responsibility is to eliminate problems that appear while moving data from source to target and provide an understandable view to the users where they can access data.

How Data Fabrics Work

Chief Data Officers (CDOs) should prepare an umbrella space for data authenticity and hygiene. Data fabrics facilitate data ops services as it reduces the duration of discovering and assessing data. It decreases the time required to systematize data and create data governance. It produces an accurate single view into the company’s data and simplifies, accumulates, and enhances it.

What Does the Future Look Like?

Organizations are planning to attract people to the raw data, allowing and helping them to understand what data is and how to use it. Companies should acknowledge the possibility and need for APIs so future users can access the data in a better way.

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