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Summary: This is a summary of an article originally published by The New Stack. Read the full original article here →
In https://thenewstack.io/addressing-the-challenges-of-real-time-data-sharing/ of this series, we highlighted the challenges of real-time data sharing, discussed operational vs. analytical data, and considered legacy solutions and their limitations. This post defines the real-time data mesh and discusses the key tenets for incorporating them into modern IT stacks. https://www.linkedin.com/in/timawagner Facilitating real-time data sharing is a challenging proposition, particularly when multicloud and SaaS applications are included as typical requirements.
The “holy grail” of real-time data sharing is a fine-grained data model capable of automatically powering secure, scalable public APIs.
Looking to learn more about real-time data meshes or their integration with analytical data solutions?
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