The Library · Insights
Deep dives across data, automation & AI
980 in-depth articles — from Excel foundations to production machine learning. Filter by topic or difficulty to find exactly what you need.
PythonExpert
Reading from SQL Databases into pandas with SQLAlchemy
Stop exporting CSVs manually. Learn how to build a direct, production-grade bridge from any SQL database into a pandas DataFrame using SQLAlchemy — with safe parameterization, connection pooling, chunked reads for large datasets, and secure credential management.
24 min read
Power AutomatePractitioner
Attended vs Unattended RPA: Choosing a Run Mode and Configuring Machines in Power Automate
The choice between attended and unattended RPA determines your entire deployment architecture — not just a setting you pick at the end. Learn how to evaluate your process, register and configure machines, set up machine groups for scale, and avoid the session management pitfalls that break unattended bots in production.
25 min read
Power AppsPractitioner
Customizing the Model-Driven Command Bar with Power Fx
Stop making users leave the record to trigger their most-needed actions. Learn how to add custom buttons, write dynamic visibility rules, and call Power Automate flows directly from the model-driven app command bar using Power Fx — no JavaScript required.
21 min read
Microsoft FabricPractitioner
Building a Fabric Data Warehouse with T-SQL: Tables, Views, and Cross-Database Queries
Learn how to design and build a production-ready dimensional model in Microsoft Fabric Warehouse using T-SQL. This lesson covers DDL for fact and dimension tables, view design patterns, and cross-database queries that join warehouse and lakehouse data without moving it.
21 min read
PythonPractitioner
Visualizing Data with matplotlib and seaborn: Charts That Explain Your Analysis
Learn to build bar charts, line charts, scatter plots, heatmaps, and multi-panel dashboards with matplotlib and seaborn. Covers the Figure/Axes model, seaborn's statistical charts, professional styling, and annotation — all with realistic sales data you can run immediately.
17 min read
Power AutomatePractitioner
Triggering Desktop Flows from Cloud Flows: Passing Inputs and Returning Outputs
Learn how to build production-grade RPA integrations by passing dynamic inputs from cloud flows into Power Automate Desktop and returning structured outputs back. Covers attended and unattended modes, DataTable outputs, error patterns, and real-world architecture.
25 min read
Power AppsPractitioner
Formula Columns and Rollup Columns in Dataverse: Calculated Data Without Code
Learn how to embed business logic directly into your Dataverse data model using formula columns and rollup columns. Build margin calculations, pipeline aggregates, and deal status signals — no code, no flows required.
22 min read
Microsoft FabricPractitioner
Direct Lake Mode in Power BI: How It Works and When to Use It over Import and DirectQuery
Direct Lake mode reads Delta Parquet files directly from OneLake into Power BI's in-memory engine — delivering Import-speed performance without scheduled refreshes. Learn how framing, transcoding, and fallback work, and build a production-ready Direct Lake semantic model from a Fabric lakehouse.
24 min read
PythonPractitioner
Text Cleanup at Scale with pandas String Methods and Regular Expressions
Dirty text data is one of the most common blockers in real analysis work. This lesson teaches you how to use pandas `.str` methods and regular expressions to normalize, extract, and validate text at scale — turning chaotic string columns into clean, queryable data with reusable pipeline functions.
22 min read
Power AppsPractitioner
Column-Level Security and Record Sharing in Dataverse
Table-level security controls who can access records, but real production environments often need finer control — down to individual columns and specific records. This lesson teaches you how to implement Field Security Profiles, configure column-level access, and use record sharing to grant targeted exceptions without restructuring your entire security model.
25 min read
Power AutomatePractitioner
Extracting Text from PDFs, Images, and Scanned Documents with OCR in Power Automate Desktop
Learn how to build production-ready OCR automation in Power Automate Desktop that extracts structured data from scanned PDFs, images, and live screen regions. Covers text parsing, regex patterns, error handling, and full folder processing pipelines for real-world document workflows.
24 min read
Microsoft FabricPractitioner
Implementing the Medallion Architecture in Microsoft Fabric: Bronze, Silver, and Gold Layers
Learn how to design and build a production-ready medallion architecture in Microsoft Fabric using three separate lakehouses for Bronze, Silver, and Gold layers. This lesson goes beyond theory — you'll write real PySpark notebooks with MERGE patterns, quarantine logic, and Delta optimization for Power BI Direct Lake reporting.
19 min read