The Library · Insights
Deep dives across data, automation & AI
982 in-depth articles — from Excel foundations to production machine learning. Filter by topic or difficulty to find exactly what you need.
SQLExpert
Advanced Window Frame Specifications: ROWS, RANGE, and GROUPS Clauses for Precise Rolling Calculations
Most SQL practitioners use ROWS out of habit without realizing that RANGE and GROUPS exist, or that the wrong choice can silently corrupt rolling aggregates. This expert lesson dives into the mechanics, edge cases, and performance implications of all three window frame modes so you can choose — and defend — the right one every time.
30 min read
Power AutomateExpert
Securing Power Automate Flows in Production: Managing Credentials, Connection References, and Data Loss Prevention Policies
Personal credentials in production flows are a ticking clock — they break when employees leave, when tokens expire, and when nobody's watching. This deep-dive lesson teaches you how to architect truly secure Power Automate deployments using service principals, connection references, and DLP policies that protect without paralyzing.
31 min read
Power AppsExpert
Architecting Canvas Apps for Enterprise ALM: Source Control with GitHub, Solution Layering, and Environment Pipeline Strategies
Most Canvas App projects fail not because of bad logic but because of bad process — no source control, no environment separation, and no disciplined deployment path. This deep-dive lesson shows you how to build a production-grade ALM system using the Power Platform CLI, GitHub Actions, and a multi-layer solution architecture that actually scales.
26 min read
Power BIExpert
Implementing Power BI External Tools Integration with Tabular Editor for Advanced Data Model Management and ALM Automation
Learn how to wire Tabular Editor into your Power BI development workflow through the External Tools framework, write C# scripts for bulk model operations, and build a full CI/CD pipeline that deploys semantic models automatically. This is the lesson that turns your Power BI development from file management into proper software engineering.
28 min read
Power BIExpert
DAX for Semi-Additive Measures: Solving Opening Balance, Closing Balance, and Inventory Calculations with LASTNONBLANK and FIRSTNONBLANK
Semi-additive measures are where good DAX breaks down — inventory totals that add when they should snapshot, closing balances that multiply by 12 at the year level, and subtotals that confidently display fiction. This lesson gives you the deep mechanical understanding of LASTNONBLANK and FIRSTNONBLANK to solve these problems permanently, including handling sparse data, zero values, fiscal calendars, and DirectQuery scenarios.
28 min read
Power BIExpert
Implementing Row-Level Security in Power BI: Dynamic Rules, Role Testing, and Enterprise Deployment
Row-Level Security in Power BI goes far beyond toggling a setting — it demands precision in DAX, an understanding of how the Analysis Services engine enforces filters, and a solid enterprise deployment strategy. This lesson teaches you dynamic RLS patterns, hierarchy-based access, rigorous testing techniques, and how to roll it all out in production with Azure AD groups and automated validation.
31 min read
Power QueryExpert
Implementing Custom Data Connector Authentication and OAuth Flows in Power Query M Language
Most Power Query tutorials stop right before the authentication complexity that actually matters in production. This deep-dive lesson builds a complete OAuth 2.0 Authorization Code flow with PKCE, transparent token refresh, and multi-scheme authentication — everything your security team will require before approving a connector for deployment.
29 min read
Power QueryExpert
Debugging and Error Handling in M: Building Robust try-otherwise Logic and Diagnostic Workflows in Power Query
Most Power Query developers treat error handling as an afterthought — a quick `try-otherwise null` and move on. This lesson teaches you the full depth of M's error model: row-level isolation, tiered handling strategies, diagnostic workflow design, and the performance traps that will bite you in production.
25 min read
Career DevelopmentPractitioner
Negotiating Rate Increases with Existing Freelance Data Clients: When to Ask, How to Frame It, and What to Do If They Say No
Most freelancers know they should raise their rates — they just don't. This lesson gives data freelancers a complete, practical framework for timing rate conversations, building a value-based case, and navigating every possible client response including a hard no. Walk away with scripts, preparation exercises, and a strategy you can actually use.
22 min read
Data EngineeringPractitioner
Orchestrating dbt Runs with Airflow: Scheduling, Dependencies, and Error Handling in Production
Running dbt in production means far more than a cron job. Learn how to build production-grade Airflow DAGs that handle upstream dependencies, partial failures, retries, and observability for your dbt transformation pipeline.
22 min read
Data EngineeringPractitioner
Parameterizing Data Pipelines: Building Reusable, Config-Driven Workflows for Multiple Environments
Most data pipelines break down the moment you try to deploy them to a second environment. This lesson teaches you how to design config-driven pipelines that run cleanly across dev, staging, and production using a single codebase — no search-and-replace required.
20 min read
AI & Machine LearningPractitioner
Tool-Augmented AI Agents: Giving Your Agent Web Search, Code Execution, and API Access
Language models alone can't access today's data, run precise calculations, or call external systems. Learn how to build production-ready tool-augmented agents with web search, sandboxed code execution, and REST API integration — including error handling, memory, and cost management.
21 min read