Top Trends in Data and Analytics for 2021: Data Fabric Is the Foundation

Data integration and data preparation are the top technologies that organizations are looking to automate in 2022. This is driving the need for data architecture solutions that can utilize active metadata, semantics, AI and ML algorithms, and knowledge graphs in order to achieve this.

Data Fabric is jumping to the forefront as a leading solution because of its ROI relative to the cost of adoption. This solution presents enterprises the opportunity to replace separately deployed and maintained data management technologies and infrastructures, or support and enhance their continued use. 


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According to us, this Gartner trends piece will teach you more about this ideal architecture as well as:

  • How to leverage it to enhance existing data management solutions that also provide data access, integration, and analytics data support in an incremental fashion
  • How data fabric enables collaborative data management practices (such as DataOps and data governance and more) 
  • What skills, investments, and resources are required to begin your data fabric journeyWh







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"The data fabric approach can enhance traditional data management patterns and replace them with a more responsive approach. It offers D&A leaders a chance to reduce the variety of integrated data management platforms and deliver cross-enterprise data flows and integration opportunities...By 2023, artificial intelligence in the data fabric will be capable of reducing data quality and data mastering ongoing operations costs up to 65%."

Gartner, Top Trends in Data and Analytics for 2021, Mark Beyer, Ehtisham Zaidi, Donald Feinberg, Henry Cook, Jacob Orup Lund, Rita Sallam, Robert Thanaraj, 16 February 2021

  Keep exploring 

  • Data Fabrics: Build your data fabric with Stardog 
  • Learn how a Knowledge Graph works 
  • Data Fabrics compare to other technologies?