ETL, pipelines, architecture concepts
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 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 »
Complete guide to CI/CD for ADF and Synapse using Azure DevOps. Covers Azure Repos setup, connecting ADF/Synapse to DevOps, YAML pipelines, multi-stage deployments, pre/post scripts, approval gates, variable groups, branch policies, and enterprise patterns.
Master all three ADF trigger types. Schedule triggers for fixed-time runs, Tumbling Window for guaranteed time-series processing with backfill, and Event-Based triggers for file-driven pipelines. Includes setup steps, comparison table, and common patterns.
Complete guide to Azure SQL Database for data engineers. Covers service tiers, DTU vs vCore, authentication methods, Managed Identity, firewall rules, stored procedures, temporal tables, pipeline integration, and cost optimization.
Azure SQL Database for Data Engineers: Setup, Configuration, and Pipeline Integration Read More »
Master AWS S3 for data engineering. Covers buckets, storage classes, IAM policies, encryption, lifecycle rules, data lake patterns, boto3 Python SDK, S3 event notifications, and performance optimization.
AWS S3 for Data Engineers: Buckets, Storage Classes, IAM, and Data Lake Patterns Read More »
