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

Most Power Automate environments fly blind when flows fail — this lesson teaches you to build a production-grade watchdog system that detects failures across an entire environment, routes intelligent alerts to flow owners via Teams Adaptive Cards, and ships structured telemetry to Azure Application Insights for dashboarding and trend analysis. By the end, you'll have centralized, proactive monitoring that works even when your flows don't.

Manual Power Platform deployments are a liability. This deep-dive lesson shows you how to build a complete Azure DevOps CI/CD pipeline that exports Canvas App solutions as source artifacts, substitutes environment variables per target environment, and deploys through approval-gated stages to production — with rollback built in from day one.

Learn how to architect a production-grade Power BI Dataflows Gen2 implementation with ADLS Gen2 storage, multi-layer computed entity transformations, and REST API-orchestrated refresh pipelines. This lesson gives you the deep technical and architectural understanding needed to build a transformation layer the entire enterprise can trust.

Most Power BI performance problems can't be fixed with DAX rewrites — they live in the data model's storage layer. This lesson teaches you to use VertiPaq Analyzer to diagnose column cardinality failures, relationship materialization costs, and compression anti-patterns that are silently bloating your model and killing query performance at scale.

Learn how to embed fully interactive Power BI reports into web applications using service principal authentication, the Power BI REST API, and the powerbi-client JavaScript SDK. Covers multi-tenant RLS enforcement, token refresh, and programmatic report control from filter application to bookmark management.

Most Power Query guides stop at CSV and Excel. This lesson goes deeper — teaching you to parse raw binary files at the byte level, including fixed-width mainframe exports, custom delimited byte streams, and proprietary formats with dynamic headers, all inside native M code.

Surrogate key generation is one of the most failure-prone steps in data warehouse ETL — especially when sources disagree on key formats. This deep-dive lesson teaches you deterministic hashing, offset-aware sequence indexing, and a robust cross-source mapping table pattern in pure M code.

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.