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This week’s edition of my @linkedin newsletter shines a light on the impact of the Model Context Protocol (MCP) across multiple computing eras—leading right up to today.

We’ve arrived at a moment where loose coupling principles are cool (and super useful) again.

Naturally, there are some live demo nuggets in the post to help bring it all to life:

🔗 linkedin.com/pulse/model-conte

#AI#GenAI#MCP

Ok, a question for #database #dbms nerds. Many years ago I worked on a join order optimizer that used a heuristic formula to estimate the number of rows produced by an equijoin, based on the number of rows in the two tables being joined and the number of distinct values in the join keys. This formula came from an academic paper, but I can't remember what the formula was or find the paper. Does this ring a bell for anyone? Boosts appreciated...

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@Migueldeicaza @davew,

For years, we’ve offered a personal #DataSpaces platform providing an abstraction layer over data managed by #filesystems (including cloud services) and/or #DBMS.

You can even mount #Dropbox, #OneDrive, #S3, etc., with fine-grained access controls for governance.

In the age of #AI, we’re making this usable via natural language as an extension (e.g., #CustomGPT) for #LLM-based chatbots like #ChatGPT.

#introduction
I am an open data access (#ODBC, #JDBC, and #HTTP), integration (#DataVirtualization), and data management (#DBMS and/or #KnowledgeGraph) technologist, enthusiast, and entrepreneur.

I am passionate about open standards for #GenAI, #AI, #Identity #Authenticity, #SocialMedia (#ActivityPub & #ActivityStreams), and data de-silo-fication initiatives (e.g. #SemanticWeb, #LODCloud, #LinkedData, #RWW, and #SmallData).

I don't like any kind of silo!