data modeling
data modeling on Beyond Market Intelligence: a running collection of 6 stories we have gathered and hand-picked because they are worth your time. Every post here touches on data modeling in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around data modeling, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
What We Miss About Missing Values
Missing values are a ubiquitous challenge in data science, yet their implications often go unexamined. "What We Miss About Missing Values" explores the hidden assumptions embedded within the data we *do* observe—recognizing that what's absent can be just as informative as what's present. This post delves into the biases introduced by missingness and offers a framework for more thoughtful analysis. For a related perspective on navigating complexity in data systems, see "Why RAG Complexity Should Be Earned."
One Document Type, a Million Files: Structured Extraction into the SQL Table RAG Queries
Unlock the power of your enterprise data with structured extraction. This guide, "One Document Type, a Million Files," details a streamlined approach to transforming unstructured documents into SQL tables optimized for Retrieval-Augmented Generation (RAG) queries. In just one hour with two people, extract six to ten key fields, leveraging signals to ensure data integrity and filter accuracy. Explore how this method empowers efficient data access and analysis—a critical step toward future-focused data management.
Making the Knowledge Layer a Graph You Actually Traverse
Traditional knowledge layers often falter when retrieval quality hinges on precise question phrasing. We're shifting that paradigm. Our approach reimagines the knowledge layer as a traversable graph, ensuring consistent results regardless of query wording. This involves rebuilding with graph traversal on every query, incorporating bitemporal edges for nuanced context, and employing a two-threshold entity resolution process.
I Thought Loading Data Was the Finish Line. It Was the Starting Point.
Many believe data loading marks the end of a project, but it’s often just the beginning. My recent journey building dbt models illuminated the true meaning of "analysis-ready" data—a concept far beyond simply moving data from point A to point B. Discovering this shift transformed my approach to data management, emphasizing the importance of structured, reliable datasets. If you’re exploring the nuances of data transformation, consider "Before Q, K, and V: Reconstructing the Transformer" for a deeper look at foundational architecture.
The Medallion Data Architecture: An Introduction
Navigating modern data pipelines can feel complex, but the Medallion Data Architecture offers a clear, practical framework. This guide introduces the Bronze, Silver, and Gold layers—a proven approach to structuring data for reliability and analytical readiness. We’ll explore each tier with a working Python and DuckDB example, empowering you to build robust data workflows. For a deeper dive into related challenges in AI agent memory management, see "Asana's AI agents share memory across your company — but not your secrets."
Automatically Assign a Category to Uncategorized Rows in Power Query and DAX
Categorized data is foundational for effective reporting and analysis; uncategorized rows hinder grouping and aggregation. When faced with data lacking assigned categories, establishing rules for assignment becomes essential. This post explores a practical solution for automatically assigning categories to uncategorized rows, demonstrated through a facility management project using Power Query and DAX. Discover how this approach unlocks deeper insights from your data. For further exploration of related techniques, see "TabFM Studio" and its application to spreadsheet predictions.