The Library · Insights
Deep dives across data, automation & AI
1262 in-depth articles — from Excel foundations to production machine learning. Filter by topic or difficulty to find exactly what you need.
Power AutomateFoundation
Using Power Automate Run History and Flow Checker to Debug and Fix Failing Flows
When a Power Automate flow fails silently, most beginners have no idea where to start. This lesson teaches you how to use Run History and Flow Checker to pinpoint exactly what went wrong, read error messages like a pro, and fix failures fast.
16 min read
Power AppsFoundation
Power Apps Camera and Attachment Controls: Adding Photo Capture and File Uploads to Canvas App Forms
Field teams shouldn't need two apps and an email to log a problem with a photo. In this lesson, you'll learn how the Camera control, Add Picture control, and Attachments control work in Power Apps — and how to wire them into a real form so images actually get saved. By the end, you'll have the skills to build a complete file-handling form connected to SharePoint.
16 min read
Power BIFoundation
Connecting Power BI Desktop to SQL Server, SharePoint, and Azure Data Lake Storage
Learn how to connect Power BI Desktop to three of the most common enterprise data sources: SQL Server, SharePoint Online lists, and Azure Data Lake Storage Gen2. This hands-on lesson walks you through authentication, navigation, and the key decisions that determine whether your reports are fast, fresh, and maintainable.
18 min read
Power BIFoundation
DAX Aggregation Over Filtered Subsets: Mastering CALCULATE with KEEPFILTERS, REMOVEFILTERS, and Boolean vs. Table Filters
Most DAX confusion traces back to one thing: not fully understanding how CALCULATE reshapes filter context. This lesson teaches you exactly how Boolean filters, table filters, KEEPFILTERS, and REMOVEFILTERS work — with realistic examples and a hands-on exercise you can try immediately.
15 min read
Power BIFoundation
Power BI Calculated Columns vs Measures: When to Use Each and Why It Matters
Most Power BI beginners use calculated columns and measures interchangeably — and end up with slow models and wrong numbers. This lesson explains how each one actually works, why they behave differently, and gives you a clear decision rule you can apply immediately.
15 min read
Power QueryFoundation
M Language Data Types and Type Coercion in Power Query: Nullable Types, Explicit Casting, and Type Mismatch Resolution
Silent null propagation, mysterious type mismatch errors, and brittle "Change Type" steps are the most common sources of unreliable Power Query pipelines. This lesson teaches you exactly how M's type system works — and gives you the casting, null-handling, and error-trapping patterns to build transformations that hold up in production.
17 min read
Power QueryFoundation
Connecting to SQL Server in Power Query: Native Queries and Credential Management
Stop importing entire database tables and wondering why your reports are slow. This lesson teaches you how to connect Power Query directly to SQL Server, write native SQL queries that filter data at the source, and manage credentials the right way — skills that immediately make your reports faster and more professional.
17 min read
Microsoft ExcelFoundation
Excel Data Validation Techniques: Drop-Down Lists, Custom Rules, and Input Controls for Reliable Data Entry
Bad data ruins good spreadsheets — and most of it happens at the point of entry. Learn how to use Excel's Data Validation feature to enforce drop-down lists, number and date constraints, and powerful custom formula rules that catch errors before they become problems.
17 min read
Career DevelopmentExpert
Building a White-Label Data Services Practice: How to Partner with Agencies and Consultancies to Deliver Work Under Their Brand at Premium Wholesale Rates
White-label data services let you build dashboards, pipelines, and analytics infrastructure under an agency's brand — earning wholesale rates without the sales overhead of direct client acquisition. This expert-level lesson teaches you how to structure partnerships, price your work correctly, manage the invisible complexity of white-label delivery, and systematize operations for scale.
31 min read
Career DevelopmentExpert
How to Decode Your First Data Performance Review: Metrics, Feedback Patterns, and How to Translate Early Evaluations into a Promotion Timeline
Your first data performance review is full of signal — if you know how to read it. This deep-dive lesson teaches you to decode the language, identify your feedback archetype, perform a competency gap analysis, and translate your review into a concrete, time-bound promotion roadmap.
32 min read
Data EngineeringExpert
Migrating a Monolithic dbt Project to a Multi-Project Architecture with dbt Mesh
Decomposing a large dbt monolith into a governed multi-project architecture is one of the hardest data engineering challenges teams face at scale. This lesson walks through the complete migration journey — dependency mapping, contract design, cross-project references, and production deployment orchestration — with the depth and specificity to actually execute it.
27 min read
Data EngineeringExpert
Cross-System Transaction Management: Implementing Distributed Sagas and Compensating Transactions for Multi-Sink Data Pipelines
When your data pipeline writes to Postgres, Kafka, Redis, and an external API simultaneously, partial failures create silent data inconsistencies that destroy trust. This deep-dive lesson teaches you to implement the Saga pattern with full compensation logic, durable state persistence, and production-grade observability — so your pipeline either completes fully or rolls back cleanly.
24 min read