The Library · Insights
Deep dives across data, automation & AI
984 in-depth articles — from Excel foundations to production machine learning. Filter by topic or difficulty to find exactly what you need.
Data EngineeringPractitioner
Building and Managing dbt Packages: Reusable Macros, Models, and Tests Across Projects
Learn how to build production-grade dbt packages that share macros, models, and generic tests across multiple analytics projects. This hands-on lesson covers package architecture, adapter-aware macro design, versioning, integration testing, and dependency management — everything you need to stop copy-pasting logic and start engineering shared analytics infrastructure.
20 min read
Data EngineeringPractitioner
Partitioning Strategies for Pipeline Output: Optimizing Downstream Query Performance with Date, Hash, and Range Partitioning
Poor partitioning is the silent killer of data pipeline performance — your data lands correctly but every downstream query pays for it. This lesson teaches you how date, hash, and range partitioning actually work at the storage level, and how to design composite strategies that serve multiple query patterns simultaneously.
21 min read
AI & Machine LearningPractitioner
Tool Memory vs. Retrieval Memory in AI Agents: Implementing Short-Term, Long-Term, and Episodic Memory Architectures
Most AI agents forget everything the moment a session ends — and that's an engineering choice, not a limitation. This lesson teaches you to build a three-layer memory system combining in-context buffers, vector-based long-term retrieval, and structured episodic storage. By the end, your agent will remember users across sessions, retrieve relevant past context automatically, and know when to look things up explicitly.
24 min read
AI & Machine LearningPractitioner
Orchestrating Parallel LLM Calls: Batching, Concurrency, and Async Patterns for High-Throughput Production Pipelines
Sequential LLM API calls will turn a 10-minute job into an 8-hour nightmare at scale. Learn how to use Python asyncio, semaphores, and smart batching to run hundreds of concurrent LLM requests safely — with full retry logic and failure handling for production pipelines.
23 min read
AI & Machine LearningPractitioner
Cost Optimization for AI API Usage: Managing Tokens, Model Tiers, and Caching Strategies to Control LLM Spend in Production
LLM API costs can spiral 10–20x between prototype and production if you're not engineering your cost architecture as carefully as your features. This lesson teaches you exactly how to audit token usage, implement intelligent model routing, build caching layers that actually work, and instrument cost monitoring so you catch regressions before your finance team does.
23 min read
SQLPractitioner
Partitioning Strategies in SQL: Using Table Partitioning and Partition Pruning to Accelerate Queries on Large Datasets
When indexes alone stop being enough, table partitioning is the next level of SQL performance engineering. Learn how to design range, list, and hash partitioning strategies, verify partition pruning is actually working, and avoid the subtle mistakes that silently kill performance on large datasets.
24 min read
Power AutomatePractitioner
Automating SharePoint List Item Lifecycle Management with Power Automate: Creating, Updating, Archiving, and Deleting Records Based on Business Rules
Learn how to build a complete, production-quality SharePoint list lifecycle management system using Power Automate. This hands-on lesson covers conditional item creation with duplicate prevention, scheduled status updates using OData filter queries, safe archive-before-delete patterns, and loop-breaking logic for item-modified flows.
21 min read
Power AppsPractitioner
Canvas App Delegation Deep Dive: Rewriting Non-Delegable Queries with Named Formulas, Explicit Column Selection, and Server-Side Filtering Patterns
Silent data truncation is the most dangerous bug in Power Apps — your app looks fine until scale exposes it. This deep-dive lesson teaches you to diagnose delegation failures and systematically rewrite non-delegable queries using Named Formulas, ShowColumns, and proven server-side filtering patterns that hold up in production.
21 min read
Power BIPractitioner
Implementing Power BI Workspace-Level Lineage and Impact Analysis to Manage Dataset Dependencies Across the Enterprise
When dataset changes break reports across seven workspaces, you need more than luck — you need a lineage strategy. This lesson teaches you how to use Power BI's built-in lineage view and the Admin REST API to map every dependency in your tenant, build a live governance report, and integrate impact analysis into your change management process before things break.
22 min read
Power BIPractitioner
DAX Currency Conversion Patterns: Build Multi-Currency Reports with Dynamic Exchange Rates and Snapshot vs. Average Rate Logic
Learn how to build a production-ready multi-currency reporting system in Power BI DAX, complete with dynamic display currency switching, average-rate conversion for income statement items, and snapshot-rate logic for balance sheet figures. This is the currency conversion framework your finance team actually needs.
19 min read
Power BIPractitioner
Mastering Power BI What-If Parameters and Scenario Analysis: Building Dynamic Forecasting and Sensitivity Models
Learn how to build production-grade What-If Parameter models in Power BI that go far beyond basic sliders — combining named scenarios, sensitivity (tornado) analysis, and compound business logic into a single interactive forecasting engine. If your dashboards only show what happened, this lesson shows you how to make them show what could happen.
19 min read
Power QueryPractitioner
Implementing Slowly Changing Dimensions in Power Query M: Type 1, Type 2, and Hybrid Strategies for Historical Data Tracking
Most Power Query tutorials show you how to load data. This one shows you how to keep it historically accurate. Learn to implement Type 1, Type 2, and hybrid SCD strategies entirely in M — with complete, production-ready code patterns, change detection, surrogate key generation, and a hands-on exercise to cement the concepts.
23 min read