Power BI Data Modelling Explained: Star Schemas, Relationships, and Best Practices

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Data modelling in Power BI involves organising data into fact tables and dimension tables to enable meaningful business analysis. A star schema places one central fact table surrounded by dimension tables, offering simplicity and easy DAX calculations, while a snowflake schema further breaks dimension tables into smaller ones to reduce redundancy. Relationships in Power BI link tables without physically combining them, allowing analysis across multiple tables using cardinality to define how rows in one table correspond to rows in another. Primary and foreign keys are essential to maintaining accurate relationships between tables. Choosing between star and snowflake schemas depends on factors such as data complexity, hierarchy levels, and the importance of minimising duplication.

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Human Atlas maps body-feeling idioms across 21 languages to sourced medical signals

A web tool called Human Atlas allows users to type colloquial body-feeling expressions in multiple languages — such as the Portuguese 'frio na barriga' or German 'Schmetterlinge im Bauch' — and receive the same ranked, sourced medical information as the equivalent English phrase 'butterflies in my stomach'. The platform currently covers 89 phrases across 21 languages, linking to 11 distinct body signals, with every phrase traced to a specific Wiktionary entry revision as its source. Each idiom functions only as a named alias for an existing signal and cannot create new causes or remove medical red flags, which remain visible regardless of the language used to search. Red-flag warnings have been translated into Portuguese, Polish, German, French, Spanish, Italian, and Dutch, though these have not yet been reviewed by native speakers. The developer reviewed major symptom checkers and medical databases and found no existing tool that treats everyday idioms as sourced aliases of body signals while also displaying cross-language equivalents with dictionary citations.

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ProgrammingDEV Community ·

Developer Builds Multiplayer Browser-Based Banking Simulation Game

A developer has created a multiplayer banking simulation game as their second web project, hosted on GitHub under the name Banksim. Players can earn income by purchasing and upgrading branches, with each branch costing 700,000 in-game currency and doubling in price with each new acquisition. The game features a tradable INR currency system where banks pay 1% on outflows and receive 1.5% on inflows for every transaction. A lending mechanic allows players to issue loans to or deposit funds in other player-run banks, making the economy fully player-driven. The project is still in active development, and the creator is seeking community feedback and reviews.

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ProgrammingDEV Community ·

Vercel Labs Open-Sources ScriptC, an AOT Native Compiler for TypeScript

Vercel Labs has open-sourced ScriptC, an experimental compiler that converts TypeScript and JavaScript into native machine code, readable C, LLVM IR, and WebAssembly without requiring Node.js or a V8 runtime. The project addresses longstanding pain points of TypeScript deployments, including cold-start latency, large binary sizes, and high baseline memory usage. ScriptC uses the official TypeScript compiler for parsing and type checking, then progressively lowers the abstract syntax tree through multiple compiler tiers. Developers can inspect intermediate compilation stages using the --emit flag, which exposes outputs ranging from typed JSON IR to native assembly. Standard Node.js APIs such as node:http are compiled directly to native system calls, enabling binaries that start in microseconds with minimal memory overhead.

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ProgrammingDEV Community ·

How to Remove Audio from Video Without Re-Encoding Using FFmpeg

Removing audio from a video file does not require re-encoding; it is a container-level operation where the audio stream is discarded while the video stream remains untouched. Modern video containers like MP4, MOV, and MKV store video and audio as independent streams, making it possible to drop the audio track without decoding or altering the video. Using FFmpeg, the command 'ffmpeg -i input.mp4 -c copy -an output.mp4' performs this operation at disk speed, completing a two-hour file in roughly ten seconds on an SSD. Omitting the '-c copy' flag causes FFmpeg to default to re-encoding, which is significantly slower and degrades video quality unnecessarily. The same operation can be performed in a browser using ffmpeg-wasm via WebAssembly, keeping the file entirely on the user's machine.

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