How can a data fabric accelerate your data management journey?
What is data fabric architecture?
A data fabric is an architecture and collection of data services that simplify access to data and standardizes data management practices. A data fabric isn’t a singular tool, it works across edge devices, on-premises and the cloud. It unifies multiple data types using metadata, semantic knowledge graphs and machine learning.
A data fabric concentrates on the challenges associated with managing complex, hybrid data and it is becoming a vital tool for converting raw data into business intelligence.
What are the benefits of a data fabric architecture?
Automated data processing
A data fabric allows you to analyze and process data in real-time, resulting in simple and more efficient processes that simplify your infrastructure and reduce the manual components.
A data fabric allows you to easily combine data from multiple sources.
Data management costs can be reduced by migrating data into one platform.
A data fabric allows you to expand data processing capacities, making growth seamless.
Sounder data compliance
Risks surrounding data sharing are reduced due to stringent access controls, therefore supporting regulations, confidentiality and data compliance.
A data fabric gives you the flexibility to adapt to the needs of your business.
Who should use a data fabric?
A data fabric is a fast-growing architecture that modernizes data management, even though it is still in its infancy. The benefits of a data fabric make it attractive to businesses of all sizes, and implementing a data fabric now is likely to lead to a competitive advantage.
In short, a data fabric facilitates the tracking, observation and utilization of data, with the potential for significant growth.
What is a data hub and how does it benefit a data fabric?
A data hub is a centralized storage system that allows organizations to store their data in one place. Data hubs are essential to the smooth running of a data fabric, as they work hand in hand; they support the use of multiple channels and systems, and therefore data hubs will exist within your data fabric. A data fabric can even make informed recommendations about data hubs, and where your business may benefit from having one.
What are the steps for building a data fabric?
You must first start by identifying the business questions you want answers to, and then:
- Gather passive and active types of fundamental metadata
- Build a data model that allows you to answer the questions you identified
- Combine your data with the model you’ve created
- Share the updated data with your relevant applications
- Repeat this process to answer new questions.