1262 in-depth articles — from Excel foundations to production machine learning. Filter by topic or difficulty to find exactly what you need.

Learn how to design, build, and deploy a fully custom Excel Ribbon using RibbonX XML and VBA callbacks. This expert lesson covers dynamic controls, context-sensitive tabs, role-based visibility, and add-in deployment — everything you need to give your workbooks a professional application-grade UI.

Every freelance data project hits turbulence eventually. This lesson gives you a practical playbook for diagnosing what went wrong, communicating with clients under pressure, resolving disputes using your contract, and recovering in a way that protects both your revenue and your reputation.

Most data job seekers treat GitHub like a filing cabinet. This complete lesson teaches you how to structure repositories, write READMEs that tell a technical story, and present code that signals professional readiness to hiring managers — with realistic examples throughout.

Learn how to extract, model, and visualize Snowflake and BigQuery cost data at the query level — attributing spend to specific dbt models, teams, and business domains. Build an automated cost attribution pipeline with dbt and Airflow and design a dashboard that drives real cost optimization decisions.

Learn how to build production-grade CDC pipelines using Debezium and Kafka — from configuring PostgreSQL logical replication to routing, transforming, and consuming database events with exactly-once semantics. This is a complete practitioner-level guide with real connector configurations, SMT recipes, and a working end-to-end example.

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.

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.

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.

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.

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.

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.

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.