More companies are leveraging data fabrics to solve complex data management challenges. Here’s what business and IT leaders need to know.
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Data fabrics have gained importance over the last year as more organizations seek to leverage their data and intellectual property in generative AI solutions. Data fabrics help address the challenges of centralizing data across business units and data sets housed in public clouds, data centers, and SaaS solutions. As a result, more AIs, machine learning models, and people can use real-time data faster and easily.
When I wrote about data fabrics, data meshes, and cloud databases last year, I focused on how data leaders could explain these technologies to business executives without drowning in jargon. I empathized with chief data officers facing pushback from executives who recall similar investments in big data, data lakes, lakehouses, and cloud migrations.
The question for many large enterprises may not be whether they need a data fabric …