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Intelligence · Automation · Advantage

The Library · Insights

Deep dives across data, automation & AI

981 in-depth articles — from Excel foundations to production machine learning. Filter by topic or difficulty to find exactly what you need.

Implementing Hypothetical Document Embeddings (HyDE) from Scratch: Generating Synthetic Answers to Improve Sparse and Dense Retrieval
AI & Machine LearningPractitioner

Implementing Hypothetical Document Embeddings (HyDE) from Scratch: Generating Synthetic Answers to Improve Sparse and Dense Retrieval

HyDE bridges the gap between how users ask questions and how documents store answers — by asking an LLM to hallucinate a plausible answer and using that embedding to search your corpus. This hands-on lesson walks you through building HyDE for both dense vector search and BM25 from scratch, including multi-hypothetical averaging and hybrid fusion.

24 min read
Implementing Tool Result Validation and Error Recovery in LLM Function Calling Pipelines
AI & Machine LearningPractitioner

Implementing Tool Result Validation and Error Recovery in LLM Function Calling Pipelines

Function calling pipelines fail in three distinct zones — and most tutorials only handle one of them. Learn how to build complete validation, typed error taxonomies, retry logic, and graceful degradation for production LLM agents that actually stay reliable.

23 min read
Using AI to Summarize, Compare, and Extract Insights from Multiple Documents Simultaneously
AI & Machine LearningPractitioner

Using AI to Summarize, Compare, and Extract Insights from Multiple Documents Simultaneously

Stop summarizing documents one at a time and hoping you catch what matters. This lesson teaches you how to design AI prompt workflows that do genuine comparative reasoning across multiple documents at once — surfacing contradictions, gaps, and structured insights that feed directly into decisions.

20 min read
Multitenancy Query Patterns in SQL: Schema-Per-Tenant, Shared Tables, and Efficient Cross-Tenant Reporting Strategies
SQLPractitioner

Multitenancy Query Patterns in SQL: Schema-Per-Tenant, Shared Tables, and Efficient Cross-Tenant Reporting Strategies

Building a multitenant SQL database means every query carries a security contract. This lesson teaches you the three major isolation models, how to write tenant-safe queries with proper indexing, and how to build cross-tenant analytics that scale without leaking data.

21 min read
Automating SharePoint and OneDrive Metadata Tagging with Power Automate: Extracting, Classifying, and Applying Managed Metadata at Scale
Power AutomatePractitioner

Automating SharePoint and OneDrive Metadata Tagging with Power Automate: Extracting, Classifying, and Applying Managed Metadata at Scale

Manual metadata tagging never sticks — people are too busy creating documents to classify them consistently. Learn how to build a Power Automate flow that automatically extracts classification signals, resolves SharePoint Term Store GUIDs, and writes managed metadata to document libraries at scale, with AI fallback for ambiguous files.

22 min read
Canvas App Delegation Workarounds for Complex Multi-Filter Queries: Combining Local Collections, Incremental Loading, and Hybrid Server-Client Filtering to Handle Large Datasets
Power AppsPractitioner

Canvas App Delegation Workarounds for Complex Multi-Filter Queries: Combining Local Collections, Incremental Loading, and Hybrid Server-Client Filtering to Handle Large Datasets

Delegation warnings are frustrating, but they're survivable — if you know how to architect around them. This lesson teaches you a layered, production-ready strategy for complex multi-condition filtering on large datasets in Canvas apps, combining server-first filtering, local collections, and incremental loading into a hybrid approach that scales.

21 min read
Implementing Power BI Datamart with Automatic Schema Detection and Built-In SQL Endpoint to Deliver Self-Service Analytics Without a Dedicated Data Warehouse
Power BIPractitioner

Implementing Power BI Datamart with Automatic Schema Detection and Built-In SQL Endpoint to Deliver Self-Service Analytics Without a Dedicated Data Warehouse

Power BI Datamart gives you a managed relational database, a built-in SQL endpoint, and an auto-generated semantic dataset — all without provisioning a single Azure resource. Learn how to build, govern, and connect to a production Datamart for departmental self-service analytics.

24 min read
DAX What-If Analysis with Calculation Groups and Field Parameters: Modeling Price, Volume, and Mix Variance Scenarios Dynamically
Power BIPractitioner

DAX What-If Analysis with Calculation Groups and Field Parameters: Modeling Price, Volume, and Mix Variance Scenarios Dynamically

Learn to build a complete price-volume-mix variance analysis engine in Power BI using calculation groups for scenario switching, What-If parameter sliders for sensitivity analysis, and field parameters for dynamic metric selection. Goes well beyond basic PVM math to show you a production-ready architecture that reconciles, performs, and delights business users.

20 min read
Mastering Power BI Tooltip Pages: Building Custom Visual Tooltips with DAX Measures and Drillthrough Context for Richer Report Interactivity
Power BIPractitioner

Mastering Power BI Tooltip Pages: Building Custom Visual Tooltips with DAX Measures and Drillthrough Context for Richer Report Interactivity

Custom tooltip pages transform Power BI reports from static charts into context-aware, interactive experiences. Learn how to build production-ready tooltip pages with precise canvas sizing, DAX measures that respond correctly to hover filter context, and design patterns that communicate at a glance.

22 min read
Implementing Custom Delta Load and Change Data Capture Patterns in Power Query M: Watermark Tracking, Hash-Based Diff Detection, and Incremental Table Synchronization Without Native CDC Support
Power QueryPractitioner

Implementing Custom Delta Load and Change Data Capture Patterns in Power Query M: Watermark Tracking, Hash-Based Diff Detection, and Incremental Table Synchronization Without Native CDC Support

When your source system has no CDC support, no reliable timestamps, and millions of rows, you need to build incremental logic yourself. This lesson walks through watermark tracking, hash-based row diff detection, and three-way table synchronization — all in pure M, all production-ready.

20 min read
Implementing Data Validation and Quality Checks in Power Query: Building Automated Assertion Pipelines to Catch Nulls, Duplicates, and Referential Integrity Failures Before Load
Power QueryPractitioner

Implementing Data Validation and Quality Checks in Power Query: Building Automated Assertion Pipelines to Catch Nulls, Duplicates, and Referential Integrity Failures Before Load

Learn how to build assertion-style validation pipelines in Power Query that automatically catch nulls, duplicate keys, and referential integrity failures before data reaches your model. This lesson gives you a complete, reusable quality gate architecture with copy-paste-ready M code for real production pipelines.

19 min read
Building a Financial Model Audit Tool in VBA: Trace Precedents, Flag Hardcodes, and Generate a Structured Review Report
Microsoft ExcelPractitioner

Building a Financial Model Audit Tool in VBA: Trace Precedents, Flag Hardcodes, and Generate a Structured Review Report

Learn how to build a production-grade VBA audit tool that systematically scans financial models for hardcoded values, traces formula precedent chains, checks structural consistency, and generates a formatted review report — all in a single click. This lesson goes beyond Excel's built-in auditing features to give you a reusable, extensible framework for real-world model review.

26 min read
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