Master SQL window functions with real examples. Covers ROW_NUMBER, RANK, DENSE_RANK, NTILE, LAG, LEAD, running totals, moving averages, frame clauses, and the most common interview questions.
SQL Window Functions Explained: ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD, and More Read More »
Everything a data engineer needs to know before starting an Azure project. Covers subscriptions, resource groups, IAM roles, Managed Identity, Key Vault, regions, tags, cost management, networking basics, Azure CLI, and a complete project setup checklist.
Master all three Azure Integration Runtime types: Azure IR (auto-resolve and custom), Self-Hosted IR for on-premises access, and Azure-SSIS IR for SSIS packages. Includes setup steps, real-world architectures, performance optimization, network security, cost analysis, and interview questions.
Azure Integration Runtime Explained: Types, Use Cases, and Real-World Examples Read More »
Build an automated cleanup pipeline in ADF that scans ADLS Gen2 folders, checks file ages using Get Metadata, and deletes files older than your retention period using If Condition and Delete activities.
Master every ADF and Synapse expression. Understand @dataset(), @item(), @activity(), @pipeline() with real examples, scope rules, value flow diagrams, and a complete cheat sheet.
Set up CI/CD for ADF and Synapse with GitHub. Complete guide covering Git integration, feature branches, ARM templates, GitHub Actions workflows, environment parameterization, and production deployment with manual approval gates.
CI/CD for Azure Data Factory and Synapse Pipelines with GitHub: The Complete Guide Read More »
Master ADLS Gen2 – hierarchical namespace, RBAC vs ACLs, Bronze/Silver/Gold structure, and integration with ADF, Synapse, and Databricks.
Azure Data Lake Storage Gen2: The Complete Guide for Data Engineers Read More »
Everything about Azure Blob Storage – hierarchy, blob types, access tiers, authentication, lifecycle management, and ADLS Gen2 comparison.
Azure Blob Storage Explained: A Complete Guide for Data Engineers Read More »
Why audit logging is essential for production pipelines. Design audit tables, stored procedures, and success/failure logging in ADF and Synapse.
Audit Logging in Data Pipelines: Why It Matters and How to Implement It Read More »
Master parameterized datasets in ADF. Understand @dataset() vs @item(), avoid BadRequest errors, and build reusable datasets.
Understanding Parameterized Datasets in Azure Data Factory: A Deep Dive Read More »
