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Self-paced learning from the trainer’s own published work, with topic self-checks — alongside, not instead of, our expert-led trainings.
Topics
383 topics · page 31 of 39
301
Information Modelling
Information Modelling is not a new term, but nerd data folks hardly get in touch with it as it’s one level above of creating any special solution. Let’s deco…
302
Standardization vsTransformation
These are one of the most confusing topics. We all mix-up data quality fixes and standardization of data for better processing with transforming data for bet…
303
Semantic Interoperability
Semantics are different for everyone. In an organization, each department has its own semantics, to view data. Same data can have different meanings for one…
304
POC,Prototype,Pilot/ MVP,Testing, andProd
Approaches play a vital role in the failure of many projects in the IT World. We all have heard about POC, Protype, Pilot, MVP, SIT, UAT, and Production impl…
305
POC
POC stands for Proof of Concept. POC normally follows Sales Context of the product. In POC, output is most important, not technology. In POC, the implementer…
306
Prototype
Protype is the next stage of POC. In POC, one has test that yes Idea is Feasible, and it will benefit business agenda. Now, in Prototyping, tools and technol…
307
Pilot or MVP
New name of Pilot is MVP 😊. MVP is the next stage of Prototyping where Tools and Technologies are tested, and end solution is tested by technical folks. Now…
308
Productionized Solution
In MVP stage where actual Tools and Technologies, and SIT, UAT, and PRODUCTION environments are implemented on a small scale. Once MVP is successful, the nex…
309
CRUD and CRAP
CRUD and CRAP functions are our daily used processes for data folks, but surely by name most are not aware of these words 😊. Let’s decode these….. As we hav…
310
Accessibility and Visibility
Accessibility and Visibility are often used interchangeably, especially in simple terms. However, in the world of data solutions, it's crucial to distinguish…

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Learn from I Am Datapedia!
Every topic of the book, readable below, with a search box to find the one you need — 383 of them with a self-check at the end.
The source: I Am Datapedia! — Series of ‘I Am Data!’ — co-authored with Bill Inmon & Marco Wobben. By Mustafa Qizilbash.