Data
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Adr vs readme vs changelog
Adr, readme and changelog are the most valueable pieces of documentation that a project could? / should? maintain. They provide us with crucial, core informations we need to star and continue effective development. Let us look at them closely. Usually we can keep everything in plain text or better yet use a Markdown format. You can even try and use some linter, highlgihts for easier writing. ADR (Architectural Decision Record) ADR (Architectural Decision Record): Document that holds a single, significant architectural decision. Includes the context, options that were considered, chosen solution with consequences. Serves as a traceable rationale for future reference as well as new team members. Readme txt or…
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The Golden Byte. Most valuable data
The Golden Byte. Most valuable data In data engineering, every byte has a cost but not all bytes are made to be equal ( read Animal Farm by George Orwell). We collect terabytes of data in the form of logs, metrics, cookies, text, pictorues and transactions. Yet only a small portion of this information is truly crucial and drives business outcomes. That fraction is what can call the Golden Byte, single most valuable unit of data that fuels strategic insight and decision-making. Data tiers architecture The Golden Byte embodies the essence of a gold layer in modern data architecture: raw ,curated , aggregated, and business-ready information. It is the outcome…
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Popular LLMs training data, what do they use ?
Popular LLMs training data seems to be universal and generic. This is why such models are so popular, they more or less know an answer to everything. But how do they come about to those answers ? What is the source of that ? Where do they get the data from ? Let`s search the web the old fashioned way and find out. Popular LLMs training data types The training data for these models come from all around the world. We humans are the ones that provide it. It is our work that is pushed into a model. LLMs training data reflects carefully curated huge datasets designed to provide high…
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Know Your data. Cost per byte vs value per byte
Cost per byte vs. Value per byte: Rethinking Data Efficiency We are living in an era where nothing gets erased (just archived). Let us dwell on cost per byte vs value per byte of such data. Every byte you store, move, or process has a cost. We focus on cost saving. Data engineering isn’t just about hoarding everything, it’s a calculated risk about understanding whether those bytes are worth to store them. Pro hint – do not fall into the trap of ‘let us grab everything and think about it later’. It does make sense until you figure out what is what but then remember to delete it ? Oh…
