The Library · Insights
Deep dives across data, automation & AI
1263 in-depth articles — from Excel foundations to production machine learning. Filter by topic or difficulty to find exactly what you need.
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
AI & Machine LearningPractitioner
Implementing Conversational Memory: Managing Context Windows and Chat History at Scale
Naive chatbots forget everything after a few dozen messages — or crash trying to hold it all in context. This lesson teaches you to build a production-grade tiered memory system that combines buffer management, summarization, and vector retrieval to give LLMs coherent, scalable long-term memory.
21 min read
AI & Machine LearningPractitioner
Structuring Unstructured Data with AI: Extracting Tables, Entities, and Insights from Text and Documents
Learn how to build production-grade AI extraction pipelines that turn messy contracts, invoices, press releases, and reports into clean, structured data. This hands-on lesson covers schema design, entity extraction, table reconstruction, long-document chunking, and confidence scoring — everything you need to move from demo to production.
24 min read
SQLPractitioner
Dynamic SQL: Writing and Executing Parameterized Queries at Runtime
Static SQL can't handle optional filters, variable column lists, or runtime table selection — dynamic SQL can. This deep-dive lesson teaches you to write parameterized dynamic SQL that's safe, performant, and production-ready, covering sp_executesql, injection prevention, optional filter procedures, and dynamic pivots.
24 min read
Power AutomatePractitioner
Mastering Dynamic Expressions and the Power Automate Formula Language: String, Date, and Array Functions for Real-World Data Manipulation
Stop letting messy incoming data break your flows. This deep-dive lesson teaches you how to use Power Automate's expression language — string functions, date arithmetic, and array operations — to transform raw, inconsistent data into exactly the shape your downstream systems need, all without leaving the flow editor.
21 min read
Power AppsPractitioner
Implementing Role-Based Screen Access and Dynamic UI in Canvas Apps Using Azure AD Group Membership
Learn how to build a single Canvas App that serves multiple roles — managers, staff, and admins — by querying Azure AD group membership at startup and using role variables to control screen access, navigation menus, and individual UI components. This is the production RBAC pattern used in real enterprise deployments.
20 min read
Power BIPractitioner
Implementing Power BI Tenant Settings and Sensitivity Labels for Enterprise Data Protection and Compliance
Enterprise Power BI governance requires more than good intentions — it requires layered technical controls that work together. This lesson walks practitioners through configuring tenant settings, deploying Microsoft Purview sensitivity labels, and building an audit trail that satisfies real compliance requirements.
28 min read
Power BIPractitioner
Mastering Power Query in Power BI: Transforming, Cleaning, and Shaping Data Before It Hits Your Model
Power Query is the difference between a data model you can trust and one you're constantly patching. This deep-dive lesson covers the M language, query folding, reusable functions, and real-world transformation patterns that production Power BI solutions depend on.
22 min read