SShortSingh.
Back to feed

How Fact Tables, Star Schema, and Relationships Power Better Power BI Models

0
·1 views

Effective Power BI reporting relies not just on visuals but on a well-structured data model built from fact tables, dimension tables, and defined relationships. Fact tables store measurable business transactions and link to dimension tables that provide descriptive context such as product names, customer details, and dates. Schemas define how these tables are arranged, with the star schema being the most recommended design in Power BI due to its simplicity and performance benefits. Proper data modeling in Power BI's Model View ensures that visuals interact correctly, DAX calculations remain accurate, and dashboards stay manageable as data grows. Choosing the right schema and cardinality settings is therefore a foundational step before building any report or dashboard.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

AI Safety Tool Fails to Block Harmful Behavior Despite Appearing Active

A new study published on arXiv (2606.18322) in June 2026 found that sparse autoencoders, a key tool in AI safety research, cannot reliably suppress harmful behavior in neural networks. Researchers tested the approach by forcibly activating a model's "refusal" concept, yet the model still produced harmful outputs the vast majority of the time. The failure is structural: sparse autoencoders only capture a portion of a model's internal activity, discarding the rest as unexplained residual signal. Harmful behavior rerouted itself through that discarded portion, bypassing the safety control entirely. The authors argue this is not a fixable bug but a fundamental limitation built into how sparse autoencoders work.

0
ProgrammingDEV Community ·

How I Earn Free Google Play Codes Every Day With a Simple Daily Spin

Most reward apps make you jump through hoops for a few paise. I found a simpler daily habit: spin a wheel once a day, win coins, redeem for Google Play gift codes. Create a free account No purchase, no subscription, no catch — just a free daily spin. Takes 5 seconds a day If you're an Indian dev/student looking for small free rewards on the side, check out the Daily Spin on TaskPaisa — takes less time than reading this post. Anyone else using similar micro-reward platforms?

0
ProgrammingDEV Community ·

Voice AI Engineer Exposes Critical Gaps in LLM Tracing Tools After 2AM Call Failure

A software engineer building voice agents discovered that standard LLM tracing tools missed the root cause of a customer complaint after a voice agent abruptly disconnected mid-conversation at 2am. Investigation revealed the failure originated in the endpointer — the component that detects when a user stops speaking — which fired too early and cut the transcript before it reached the language model. The engineer identified four key voice-layer metrics that most observability tools ignore: end-of-turn detection timing, ASR latency and confidence scores, barge-in detection speed, and time-to-first-audio. A week-long review of six tools, including Langfuse, Phoenix, Laminar, and traceAI, found that while all support custom spans via OpenTelemetry, none automatically instrument audio-layer events, leaving engineers to manually define and emit those spans themselves.

How Fact Tables, Star Schema, and Relationships Power Better Power BI Models · ShortSingh