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pklee

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They are decently good, I could not find major differences for the cases I was trying. The key is to control the temperature. Make sure it is low, otherwise the randomness increases tremendously. Infact you can feed the same input from openAI into NEOX and it generates results. There are many NEOX open playgrounds that allow you the control the temperature etc.

2 chapters in. Very good and makes you think. Truly impressive way of teaching how data is pivotal. The introduction reminds me of Peter Norvig's talk. I also like the point below of data is code, it is very profound.

The concept of a data-mesh is more of a business concept as opposed to tech. IMHO the idea being proposed is that of a conceptual data-server (not to be confused with database server) much like a HTTP server / Mail Server where people can engage with data as a first class citizen and create "data" products. This is especially true as we move from HTML to somewhat HDML (Hyper data markup).

By making data as the product (abstracting all the gory details), you are fundamentally engaging with data through a UI or an API. As you expose these products they become accretive while fundamentally encapsulating the domain expertise within them.

Of course. Assume somewhat of a big services company. There are many customer related problems that can be solved using products. Assuming such a product can be created. What should be the structure of the team that handles such products ? What should be the equity structure etc. Does that help ?

Yes completely. What I am seeing more and more is people try to shovel everything into big-data, but it becomes a nuclear powered can-opener which I am not sure is needed. The UI for this oscillates between excel with a macro or here is SaaS. Absolutely nothing in between.

Steve McConnell 6 years ago

I would say Scott Ambler. His book "building object applications that work" was amazing and it helped me understand how to design systems

I am not sure about MS Access. From what little I know 2 people opening from network drive would mostly result in database being corrupt.

This is absolutely valid. There is a comprehensive analytics platform that I work on where we went from (a litany of) REST services to our own domain language. It not only allowed us to go across databases (Graph / RDF / RDBMS) but even across processing engines (R/Python). This is really where I think the industry should go. I am sure someone will point out there is a great talk by Brian Kernighan on this on youtube.