Skip to content
Vyhledejte informace o produktech a řešeních InterSystems, kariérních příležitostech a dalších.

Data Fabric: The Next Step in the Evolution of Data Architectures

Eckerson Group Report

Data fabric has emerged to provide a unified view of disparate and distributed data and to support any type of workload, from business intelligence to ad-hoc analytics to data science. Data fabric uses metadata and artificial intelligence/machine learning (AI/ML) to automate data management functions such as onboarding new data sources and managing metadata. It also simplifies combining data of different types and from different locations to provide seamless access to enterprise data.

This reports focuses in data fabric including:

  • Evolution of Data Architecture
  • Definition of Data Fabric
  • Potential Benefits and Pitfalls of Data Fabric
  • Characteristics of Data Fabric
  • Implementation Options
  • Data Fabric Evolution

Key Takeaways

  • Data fabric is an architectural approach that uses metadata, machine learning, and automation to provide a unified view of enterprise data regardless of its format or location.
  • Data fabric does not replace data warehouses and data lakes but rather encompasses them to support business intelligence, data science, and embedded analytics.
  • Data fabric seeks to significantly reduce time to insight: the amount of time it takes to use data to get to an “aha” moment that informs business action.
  • Data fabric incorporates AI-driven processes that automate many aspects of data management such as discovery, cataloging, preparation, validation, and monitoring to help data teams keep up with the never-ending demand for data.
  • A data fabric is not a single product that you can buy. The options are to buy pre-integrated tools from one vendor or buy best-of-breed components from multiple vendors and integrate them yourself.
  • Data fabric is best suited for organizations whose data landscape is growing rapidly, with a variety of data formats stored in multiple locations, and the need to democratize data access to meet many analytical demands.

Další Zdroje, Které By Se Vám Mohly Líbit

Sep 18, 2024
Zjistěte, co je to relační databáze, jaké jsou její klíčové vlastnosti a proč je pro vaši firmu klíčová. Přečtěte si o jejích výhodách, oblíbených systémech a srovnání s jinými databázemi
Sep 18, 2024
Datová struktura modernizuje správu dat a poskytuje zjednodušený přístup, transformaci a harmonizaci dat pro různé podnikové aplikace.
Sep 09, 2024
Spotlight by Bloor
Data fabric is a more flexible data architecture that can work without building yet more data silos and instead synamically access data in situ in operational source systems.
Sep 09, 2024
Bloor Market Update
A look at the current state of the data fabric market by Bloor Research
Sep 06, 2024
Bloor Research
A Bloor Gold Mutable Award 2024 By Andy Hayler – Practice Leader, Data as an Asset InterSystems and the Data FabricWhy Should You Care?
Aug 09, 2024
A CHIME Thought Leadership Roundtable
At a CHiME Roundtable, executives from leading HCOs came together to discuss how artificial intelligence revolutionize clinical care.
Jul 26, 2024
Harris Associates
Implementací InterSystems Smart Data Fabric společnost Harris Associates odbourává datová sila a zkracuje dobu potřebnou k přijímání informovaných obchodních rozhodnutí.
Jul 26, 2024
Forrester Research
Společnost InterSystems je uznávána jako Strong Performer, protože poskytuje "komplexní datovou strukturu pro podporu jakéhokoli případu použití ve velkém měřítku".
Jul 22, 2024
Technology Guide
Enabling integrators and developers to deliver highly customized intelligent supply chain applications
Jul 11, 2024
Eleven common questions and answers
Today more than ever before, organizations are striving to gain a competitive edge, deliver more value to customers, reduce risk, and respond more quickly to the needs of the business. To achieve these goals, organizations need easy access to a single view of accurate, consistent, and trusted data – and all in real time. However, growing volumes and complexities of data make this difficult to achieve in practice. As data grows, so does the prevalence of data silos, making integrating and leveraging data from internal and external data sources a challenge.

Udělejte další krok

Rádi si s vámi promluvíme. Vyplňte některé údaje a my vás budeme kontaktovat.
*Povinná pole
Highlighted fields are required
*Povinná pole
Highlighted fields are required
** Výběrem možnosti ano dáváte souhlas k tomu, abyste byli kontaktováni pro novinky, aktualizace a další marketingové účely týkající se stávajících a budoucích produktů a událostí společnosti InterSystems. Kromě toho souhlasíte s tím, aby byly vaše kontaktní údaje zadávány do našeho řešení CRM, které je hostováno ve Spojených státech, ale je udržováno v souladu s platnými zákony o ochraně osobních údajů.