Architecture
Databricks vs Snowflake in 2026: an honest decision framework
Cost model, workload fit, governance and team skills — how to choose without vendor marketing.
Coming soon
8 min read
Blog & tutorials
Data engineering, cloud and AI — written by people who ship
Architecture decisions, tuning war stories, certification plans and interview prep. This is also our main organic-search engine: each post targets a keyword cluster and links into the course it supports.
Architecture
Delta Lake vs Apache Iceberg: which table format should you standardise on?
Feature parity, engine support, migration cost and the interop story after UniForm.
Coming soon
8 min read
PySpark
Fixing Spark data skew: five techniques ranked by when to reach for them
Salting, AQE skew join, broadcast, bucketing and repartitioning — with measured results.
Coming soon
8 min read
Certification
AWS Certified Data Engineer (DEA-C01): a realistic 6-week study plan
What the exam actually tests, which services dominate, and free practice resources.
Coming soon
8 min read
Generative AI
How to evaluate a RAG system properly (and stop shipping on vibes)
Golden sets, RAGAS metrics, LLM-as-judge pitfalls and CI regression gates.
Coming soon
8 min read
Orchestration
Airflow vs Databricks Workflows vs Step Functions: choosing an orchestrator
Cost, observability, dependency management and the migration traps in each direction.
Coming soon
8 min read
Careers
40 data engineering interview questions we see asked most often
Grouped by level, with what the interviewer is really testing for in each one.
Coming soon
8 min read
Cost
Cutting a Databricks bill by 60%: a repeatable audit checklist
Cluster policies, job compute, liquid clustering, Photon eligibility and system-table chargeback.
Coming soon
8 min read
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