Master SCD Types 0, 1, 2, 3, and 6 with detailed table examples and real-life analogies. Covers implementation in Azure SQL, Synapse Data Flows, and Delta Lake MERGE. Includes edge cases, Medallion architecture integration, and interview questions.
Master every join type in Synapse Data Flows with real datasets and visual before/after tables. Covers Inner, Left Outer, Right Outer, Full Outer, Cross, Exists, and Lookup. Includes broadcast optimization, duplicate column handling, and performance tips.
Joins in Azure Synapse Data Flows: Every Join Type Explained with Real-World Examples Read More »
Decode every JSON structure in Azure Data Factory. Covers Linked Services, Datasets, Pipelines (simple copy, metadata-driven, incremental, audit logging), Triggers, Integration Runtimes, and Data Flows. Learn to read, edit, and troubleshoot ADF JSON for Git integration and CI/CD.
Master AWS Cognito for app authentication. Covers User Pools vs Identity Pools, token types, MFA, social login, Hosted UI vs Custom UI, API Gateway integration, Lambda triggers, React Native integration, and comparison with Auth0 and Firebase.
AWS Cognito Explained: User Authentication and Authorization for Your Applications Read More »
Master AWS Amplify for deploying web and mobile apps. Covers hosting with CI/CD from GitHub, custom domains, authentication with Cognito, storage with S3, GraphQL APIs, React Native support, and comparison with Vercel and Netlify.
AWS Amplify Explained: Build and Deploy Full-Stack Apps Without Managing Servers Read More »
Master Data Flows in ADF and Synapse. Covers all transformation types with real-life analogies, step-by-step build guide, Debug cluster costs, performance optimization, and when to use Data Flow vs Copy Activity.
Data Flows in Azure Data Factory and Synapse: Visual Data Transformation Without Code Read More »
Master trigger-to-pipeline parameter passing in ADF. Covers Schedule, Tumbling Window, and Storage Event trigger outputs, step-by-step wiring, system variables reference, real-world scenarios with analogies, and common mistakes.
Passing Parameters from Triggers to Pipelines in Azure Data Factory: The Complete Guide Read More »
Master LLM fine-tuning from concepts to code. Covers when to fine-tune vs RAG vs prompt engineering, LoRA and QLoRA methods, step-by-step with OpenAI API and Hugging Face, training data preparation, 5 real-world scenarios, evaluation techniques, costs, and the data engineer role in AI projects.
Fine-Tuning Large Language Models: A Complete Guide for Data Engineers Read More »
Master AWS Glue Data Catalog and Crawlers. Covers catalog hierarchy, crawler setup, schema detection, partition discovery, Athena integration, manual DDL, scheduling, IAM permissions, and comparison with Azure equivalents.
AWS Glue Data Catalog and Crawlers Explained: Metadata Management for Your Data Lake Read More »
Build a complete on-premises to Azure data pipeline using Self-Hosted Integration Runtime. Covers VM setup with SQL Server, SHIR installation, linked services, metadata-driven Copy pipeline, architecture diagrams, high availability, and production best practices.
Building an On-Premises to Azure Data Pipeline with Self-Hosted Integration Runtime Read More »
