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 »
Master SQL CTEs and subqueries. Learn when to use each, how to chain multiple CTEs, recursive CTEs for hierarchies, deduplication patterns, and real-world data engineering examples.
SQL CTEs and Subqueries Explained: When to Use Each and Why CTEs Win Read More »
Prepare for data engineering interviews with 20 essential questions covering pipeline design, data modeling, ETL vs ELT, star schema, SCD, batch vs streaming, data quality, PII handling, and orchestration.
Top 20 Data Engineering Interview Questions: Concepts Every Candidate Must Know Read More »
The Python skills data engineers actually use: reading files (CSV, JSON, Parquet), pandas DataFrames, database connections, REST APIs, AWS/Azure SDKs, logging, error handling, and production ETL patterns.
Python for Data Engineers: The Essential Skills You Actually Use Every Day Read More »
Master every SQL join type with visual diagrams and real examples. Covers INNER, LEFT, RIGHT, FULL OUTER, CROSS, and SELF joins, plus ON vs WHERE, CTEs with joins, performance tips, and interview questions.
SQL Joins Explained: INNER, LEFT, RIGHT, FULL, CROSS, and SELF Joins with Real Examples Read More »
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.
