Testing Services provides a platform for QA professionals to discuss and gain insights in to the business value delivered by testing, the best practices and processes that drive it and the emergence of new technologies that will shape the future of this profession.

« 'By failing to prepare, you are preparing to Fail' - Data Analytics and its role in dealing with Covid-19 | Main

Data Fabric - The Futuristic Data Management Solution

Global Research and Advisory firm Gartner has identified top data and analytics trends for 2020, which will have significant transformative potential in the next two to five years. Data Fabric is one of the most prominent trends. With the enormous growth of both structured and unstructured data from smartphones, IoT devices, and digital channels there is a need to be able to process large amounts of data, mine it, analyze it and make it accessible. Data Fabric is a method to understand large amounts of data traversed through the cloud systems.

In this blog, we will understand What is a Data Fabric, The Data Fabric Stack, and a few Use Cases.

A.      What is Data Fabric

Data Fabric is a unified architecture and data service set running on that architecture, that helps organizations manage their data across on-premise, cloud, and hybrid cloud systems. Data Fabric is a single, unified platform for data integration that simplifies and integrates data management across platforms to accelerate digital transformation.

 

§  Connects to platforms using pre-packaged functions and connections

§  Integrates and manages data from on-premise and cloud environments

§  Support for batch and real time data streams

§  Data Quality, Data Enrichment and Data Governance capabilities

§  Support for API development and integration

 

B.      The Data Fabric Stack includes following layers - 


·        Data Collection & Storage: Ingest & Integrate data, events and APIs from any source, from on premise and in the cloud

·        Data Services: Manage several services at this layer including data governance, data protection, data quality and adherence to compliance standards

·        Transformation Layer: Involves cleaning and enrichment of batch and real-time data to enable informed decisions

·        Analytics/Sharing Layer: Realize data value by making it available internally and externally via self-service capabilities, analytic portals, and APIs


C.       Successful Use Cases

«  A leading pizza company in the world, with both delivery and carry put operations, utilizes data fabric to maintain the competitive advantage. It allows ordering of pizza from a plethora of devices including TV, Smartwatch, Smartcar, etc. resulting in 25TB of data, from 100,000 data sources - structured and unstructured. Using Data Fabric, company gathered and analyzed data from their POS systems, multiple supply chain centers, and across digital channels including text messages, Twitter, Amazon Echo

«  A leading pharma company, applied AI to develop weed identification, and enabled farmers to apply the exact solution needed to kill the weed species. It developed an app which used machine learning and artificial intelligence to match photos that farmers uploaded to the app. This resulted in better choice of seed variety, better application of crop protection products, and best harvest timing

«  Leading insurance company is utilizing data fabric to store and analyze claim data - claim report, incident data, police report, claim history, claim details, counterparty details, etc. This has helped in faster settlement of claims and also to make policies more compelling and price them competitively

Conclusion

In a world where technology is changing everyday lives, digital transformation tops the strategic agenda of most organizations and their leaders. To be successful in digital transformation journey, data is lifeline, to enable new customer touch points, create innovative business propositions, and optimize operations. Data fabric enables businesses to achieve these by offering connectors for hybrid systems, advanced data integration capabilities, and analytical capabilities. Demand for data fabric will get stronger as organizations look to stay on top of emerging technologies and new trends to stay competitive, stay relevant and maintain business edge.

Comments

Good and informative article.

Good blog Rajat. Specially the examples in three domains - pharma, insurance and retail gives clear understanding on how data fabric is useful :)!

great article on an innovative product. as noted in the article, Managing data across several digital platforms and deriving insights is a huge evolving area and highly important for all organizations.

Great read and very informative. Thanks for sharing such an interesting insight on data & analytics trend.

Nice to see a prominent topic which is catching traction. Way to stay ahead!!!

An interesting perspective to how data can be weaved to create a new story/ perspective altogether.

Post a comment

(If you haven't left a comment here before, you may need to be approved by the site owner before your comment will appear. Until then, it won't appear on the entry. Thanks for waiting.)

Please key in the two words you see in the box to validate your identity as an authentic user and reduce spam.

Subscribe to this blog's feed

Follow us on

Infosys on Twitter