Author
Deepesh Patel
Founder & Data Engineer
Deepesh Patel writes the engineering reference guides published on this site, covering data platform architecture, analytics, governance and production AI systems.
They are written for the person who has to operate the system afterwards: each one states the decision, the trade-offs on either side of it, the failure modes that follow, and what the recommendation does not cover.
- Published guides
- 37
- Subject areas
- 6
- Profile updated
Editorial method
How these guides are written.
Checkable against any article
The decision comes first
Each guide opens with the decision it exists to settle, in a paragraph that stands on its own. If the answer is "it depends", the guide says what it depends on before it says anything else.
Trade-offs on both sides
A recommendation is stated with the case against it and the failure modes that follow from taking it. A guide that only argues one direction is a sales page with headings.
Vendor behaviour is cited, not asserted
Where a claim depends on how a specific platform actually behaves, it links that platform's own documentation. The reference list at the foot of each article is the working list, not decoration.
The limits are written down
Every guide states what it does not cover. Scope stated up front is worth more to an architect than breadth claimed and not delivered.
Stated limits
What these guides do not claim.
Most author pages list what a person has done. This one also states what the writing deliberately stops short of, because a reader deciding whether to trust a technical recommendation is better served by a boundary than by a credential.
- No guide on this site reports a client engagement, a benchmark or a measured result. Client work appears only in case studies, published with the client's approval.
- Where an example is hypothetical, it says so in the text rather than in a footnote.
- No partnership, certification or vendor affiliation is claimed anywhere on this site.
Subject areas
Topics covered on Quorlytic.
Each links to the capability it supports
Published guides
Everything Deepesh Patel has written here.
37 articles, newest first
- Teradata to Snowflake Migration GuideEngineering guide
- Oracle to Snowflake Migration GuideEngineering guide
- Informatica PowerCenter to dbt Migration GuideEngineering guide
- Cloudera to Databricks Migration GuideEngineering guide
- Netezza to Snowflake Migration GuideEngineering guide
- RAG vs Fine-TuningDecision guide
- CDC vs Batch vs StreamingComparison
- Data Pipeline ReliabilityEngineering guide
- Medallion ArchitectureArchitecture guide
- Snowflake Cost OptimizationArchitecture guide
- Data Observability vs Data QualityComparison
- Data Contract ArchitectureEngineering guide
- Data Governance Operating ModelOperations guide
- Governing Data Used by RAGGovernance guide
- Evaluating RAG SystemsEvaluation guide
- Why Two Dashboards DisagreeAnalytics guide
- MAPE vs WAPE vs RMSEComparison
- Attribution vs IncrementalityComparison
- Snowflake vs DatabricksComparison
- Data Lake vs Warehouse vs LakehouseComparison
- ETL vs ELTComparison
- Databricks vs BigQueryComparison
- Power BI vs Tableau vs LookerComparison
- Data Analytics vs Data ScienceComparison
- What Is a Data Pipeline?Engineering guide
- Data Orchestration: Airflow and dbtEngineering guide
- Data Warehouse ArchitectureEngineering guide
- What Is Business Intelligence?Analytics guide
- Semantic Models and Metric GovernanceAnalytics guide
- Predictive Analytics: From Signal to ActionAnalytics guide
- What Is RAG?AI guide
- Generative AI in the EnterpriseAI guide
- AI Agents: When Autonomy WorksAI guide
- MLOps: Operating Models in ProductionOperations guide
- AI vs Machine Learning vs Deep LearningComparison
- AI-Ready Enterprise Data ArchitectureArchitecture guide
- Warehouse Migration PlaybookEngineering guide
Your next data decision
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Build what comes next.
Bring the business question.
We'll help shape the engineering brief.