The Library · Insights
Deep dives across data, automation & AI
978 in-depth articles — from Excel foundations to production machine learning. Filter by topic or difficulty to find exactly what you need.
Power AppsExpert
Configuring Dataverse Plug-in Steps and Business Event Handlers: Triggering Server-Side Logic on Table Operations
Learn how the Dataverse event pipeline really works — stages, modes, images, and filtering — and how to configure plug-in steps and business event handlers without writing code. Build systems with genuine transactional integrity and event-driven automation.
31 min read
PythonFoundation
Calculating Running Totals, Subtotals, and Grand Totals in pandas for Boardroom-Ready Summary Tables
Learn how to build executive-quality summary tables in pandas — complete with running totals, group subtotals, and grand totals. This step-by-step lesson teaches you the exact patterns that turn raw data into boardroom-ready reports, using a realistic retail sales dataset you can run immediately.
14 min read
Power AppsExpert
Configuring Dataverse Auditing and Field-Level Change History in Model-Driven Apps
Learn how to configure Dataverse audit logging at the organization, table, and column level — then surface that change history directly on model-driven app forms. This expert-level lesson covers storage architecture, security role configuration, API querying, and compliance patterns.
29 min read
PythonExpert
Building a Dynamic pandas Report Pipeline with Parameters, Filters, and Excel Output
Stop rewriting your analysis every time someone asks for a different region or date range. This expert-level lesson walks you through building a fully parameterized pandas report pipeline that filters, aggregates, and exports formatted Excel workbooks from a single, reusable codebase — with batch generation across any parameter grid.
27 min read
Microsoft FabricExpert
Implementing Delta Lake Time Travel in a Fabric Lakehouse: Querying Historical Snapshots, Rolling Back Bad Writes, and Auditing Table Changes with PySpark and T-SQL
Delta Lake time travel turns catastrophic data overwrites into two-minute recoveries. Learn how to query historical snapshots by version and timestamp, execute safe rollbacks with RESTORE TABLE, build a persistent audit trail, and manage retention windows so time travel is available when you actually need it.
31 min read
Power AppsExpert
Configuring Dataverse Table Event Plugins and Real-Time Workflows in Model-Driven Apps: Enforcing Complex Business Logic at the Data Layer Without Custom Code
Real-time workflows in Dataverse enforce business rules at the pipeline level — blocking invalid operations regardless of whether they come from a form, an API call, or a bulk import. This lesson teaches you to design, configure, and troubleshoot synchronous workflows that genuinely enforce complex multi-condition logic without writing a single line of code.
29 min read
Power AutomatePractitioner
Automating Windows Registry and Environment Variable Operations in Power Automate Desktop: Reading, Writing, and Managing System Configuration for Application Automation
Learn how to read and write Windows Registry keys and environment variables directly from Power Automate Desktop. Build self-healing bots that validate and repair system configuration before every run, handle permission boundaries gracefully, and eliminate configuration-related failures in production RPA.
21 min read
PythonPractitioner
Flattening, Formatting, and Exporting Nested JSON APIs to pandas DataFrames: Handling json_normalize, Nested Lists, and Missing Keys
Real-world APIs return deeply nested JSON that breaks naive DataFrame loading. Learn how to use json_normalize, explode, and defensive sanitization to flatten any nested structure—including lists of sub-objects and missing keys—into a clean, analysis-ready DataFrame. Includes a complete, production-ready pipeline function.
21 min read
Power AutomatePractitioner
Automating Windows Task Scheduler and Service Management in Power Automate Desktop: Starting, Stopping, and Monitoring Background Processes from Desktop Flows
Learn how to start, stop, and monitor Windows services and scheduled tasks from Power Automate Desktop flows. This hands-on lesson covers native actions, PowerShell integration, polling loops, and production-ready orchestration patterns for background process management.
22 min read
Microsoft FabricPractitioner
Implementing Slowly Changing Dimensions in a Fabric Lakehouse: Using PySpark and Delta Lake MERGE to Track Historical Changes Across Medallion Layers
Learn how to build production-quality SCD Type 2 dimensions in a Microsoft Fabric Lakehouse using PySpark and Delta Lake's MERGE statement. This lesson covers the full pattern: change detection with attribute hashing, two-phase expire-and-insert MERGE logic, surrogate key generation, and Gold layer point-in-time joins — with a hands-on exercise you can run in your own environment.
24 min read
Power AutomateFoundation
Automating Windows Dialog Boxes and Pop-Up Windows in Power Automate Desktop: Handling Alerts, File Pickers, and Modal Prompts Reliably
Dialog boxes and pop-up windows are the most common reason desktop automations fail silently. This lesson teaches you how to detect, interact with, and gracefully handle any Windows dialog — from simple alerts to complex file picker prompts — so your bots never get stuck waiting for a click.
18 min read
PythonPractitioner
Ranking and Window Calculations in pandas: Running Totals, Cumulative Averages, and Percent Rank with groupby and transform
Learn how to compute running totals, cumulative averages, rolling windows, and within-group rankings in pandas using groupby and transform. Practical examples using realistic sales data, with full copy-paste code and a complete weekly performance report you can adapt immediately.
19 min read