Data Fabric's Chronicle n. 2
Michele Iurillo
Country Manager Spain & Latam @ Irion, Founder @ Data Management Summit, CDMP Data Management Disseminator
Here is a new issue of our newsletter about Data Fabric. If you think that some articles should be here please let us know. If you are an author and you have written something in English about Data Fabric we can promote it here for free.
Data Fabric vs Data Mesh (Linkedin Pulse)
A round table dedicated to Data Fabric and Data Mesh is planned for the next edition of https://datamanagementsummit.org .
Data Fabric promotes a single unified data architecture with an integrated set of technologies and services, specifically designed to deliver integrated, rich, high-quality data, at the right time, in the right way, to the right data consumer.?
Article here: https://www.dhirubhai.net/pulse/data-management-summits-2022-roundtables-michele-iurillo/
What Does Data Fabric Mean? (Techopedia)
Data fabric is a term coined by the research firm Gartner to describe a distributed IT architecture in which data is governed the same way whether it is located on premises, in the cloud, or at the?edge ?of a network.
Article here: https://www.techopedia.com/definition/34631/data-fabric
ThunderCat CTO on enriching AI with a unified data fabric (FeedScoop)
The volume of data coming into federal agencies makes it increasingly critical for IT leaders to develop more agile data strategies and harness that data using newer artificial intelligence and machine learning tools to better inform their mission.
Several years into the implementation of the Federal Data Strategy agencies such as the Veterans Affairs are making key progress in unifying their data to better access information in their patient files, shares Kurt Steege, Chief Technology Officer at ThunderCat Technology.
Article here: https://www.fedscoop.com/video/thundercat-cto-on-enriching-ai-with-a-unified-data-fabric/
Explaining Data Fabrics to the CEOs: How and Why (Information Week)
A “fabric” is defined as “a cloth made by weaving, knitting, or felting fibers,” according to dictionary.com.?Alternate definitions ?include the following: “framework; structure; the fabric of society; a building; edifice.”
“Fabric”?is an amorphous term -- so much so, that IT leaders can experience as much difficulty trying to explain its importance to management as it did when another amorphous term -- cloud -- came on the scene over a decade ago.
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Article here: https://www.informationweek.com/big-data/explaining-data-fabrics-to-the-ceos-how-and-why
The Role of AI and ML in Building a Logical Data Fabric
The logical data fabric is a vision of a unified data delivery platform that abstracts access to multiple data systems by hiding complexity and exposing data in business-friendly formats.
In today’s data-first economy, it is not unusual for some organizations to have multiple data science, data engineering, and data platform teams dealing with issues such as pricing, supply-chain, and in-store shopping-related advanced data analytics and data science to propel their business and achieve a competitive advantage
Data Observability With Robotic Data Automation Fabric (Forbes)
Digital-first businesses are striving for service assurance, which has become the lifeblood for their businesses processes. But they are increasingly getting complex across legacy and cloud-native applications, multi-cloud distributed services, with the rise of edge and when leveraged with Kubernetes and microservices architectures. Service assurance needs full-stack observability; however, customers need an approach to tame the data deluge while enabling actionable insights. This is where observability needs to be augmented by AIOps to contextualize, automate, scale and instantly remediate the root cause while delivering.
Data Fabric: Convergent Solutions to Avoid Complex Tools Patchwork (Source?DataVersity )
Gartner defines data fabric as a design concept that serves as an integrated layer (fabric) of data and connecting processes. A data fabric uses continuous analysis on existing?metadata ?assets to support the design, deployment, and use of integrated and reusable data across environments, and is?a must for data-driven organizations : “The data structure approach can enhance traditional Data Management patterns and replace them with a more responsive approach. It offers D&A managers the ability to reduce the variety of integrated data management platforms and offer cross-enterprise data flows and integration opportunities.”
This is why it is necessary to have an all-in-one approach – that is, a platform that can operate across the entire data pipeline, from data ingestion to data exploitation and visualization.?
Complete article:?https://www.dataversity.net/data-fabric-convergent-solutions-to-avoid-complex-tools-patchwork/
About the Author
Michele Iurillo is a member of DAMA Italy and VP Marketing, Events DAMA Spain, founder of the Data Management Summit, a reference event in the world of data management. He is currently Country Manager of?Irion ?in Spain and Latam. He has been involved in Business Intelligence for the last 10 years. He has been Country Manager in Spain for TARGIT and collaborates with different media and Dataversity, a true global reference in the world of data. He is CDMP certified by DAMA-I and lectures on the need for companies to discover the treasure of data that their systems generate every day. All product names, logos and trademarks are the property of their respective owners. Blog https://micheleiurillo.es