Guides for data engineers
Our first guides are being written. Here's what's coming.
Coming soon
Upcoming guides
SQL Window Functions: RANK, ROW_NUMBER, LAG/LEAD with Real-World Examples
Foundational SQL
How to Diagnose and Fix Slow SQL Queries: 10 Techniques with Benchmarks
Performance tuning
Every SQL JOIN Type Explained with Visual Diagrams
Foundational SQL
Parquet vs CSV vs Avro vs ORC: Storage Format Decision Guide for Data Engineers
Data formats
JSON Schema Validation: A Practical Guide for API and Pipeline Developers
JSON validation
Regex for Data Engineers: Patterns Every Practitioner Should Know
Regex workflows
Medallion Architecture with dbt: Building Bronze, Silver, Gold Layers End-to-End
Modern data stack
dbt vs Stored Procedures: What Actually Changes When You Go Modern
Modernization
Great Expectations vs Soda Core: Data Quality Tooling Compared in 2026
Tool comparison
Microsoft Fabric vs Databricks: Honest Comparison for Enterprise Data Teams
Platform comparison
Terraform for Microsoft Fabric: Provisioning Workspaces and Pipelines as Code
Infrastructure as code
Setting Up dbt-fabric Adapter on Microsoft Fabric Lakehouse: Complete Guide
Fabric setup
Polars vs Pandas: Performance Benchmark on 10M, 100M, and 1B Row Datasets
Performance comparison
From SQL to PySpark DataFrame API: A Practical Translation Guide
PySpark translation
Data Profiling in Python: ydata-profiling, pandas-profiling, and Manual Techniques
Data profiling
Delta Lake vs Apache Iceberg: Open Table Formats Compared for 2026
Architecture comparison
Data Lineage Explained: Tools, Patterns, and Why It Matters for Governance
Governance
Skills Every Senior Data Engineer Needs in 2026 (Based on 500 Job Posts)
Career development
Data Quality Frameworks Compared: GE, Soda, dbt Tests, Monte Carlo
Tool comparison
SQL Interview Questions for Data Engineers: 30 Real Questions with Solutions
Interview prep