Advanced SQL for Data Engineering Pipelines

Master advanced SQL techniques to build robust, efficient, and scalable data engineering pipelines.

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SQL Optimization Techniques for Data Pipelines

Unit 1: Understanding Query Execution Plans

Unit 2: Indexing Strategies

Unit 3: Query Rewriting Techniques

Unit 4: Database-Specific Optimizations

Advanced SQL Features for Data Transformation

Unit 1: Window Functions: Basics and Ranking

Unit 2: Window Functions: Aggregation and Analysis

Unit 3: Common Table Expressions (CTEs)

Unit 4: User-Defined Functions (UDFs)

Unit 5: Pivoting and Unpivoting

Data Quality and Validation with SQL

Unit 1: SQL-Based Data Validation

Unit 2: Anomaly and Outlier Detection

Unit 3: Data Cleansing and Standardization

Unit 4: Data Quality Monitoring and Alerting

Automation, Integration, and Real-time Processing with SQL

Unit 1: Automating Data Pipelines with SQL

Unit 2: Integrating SQL with Data Engineering Tools

Unit 3: Real-time Data Processing with SQL

Unit 4: Data Lineage and Impact Analysis with SQL

Data Governance and Security in SQL

Unit 1: Data Masking and Anonymization

Unit 2: SQL-Based Access Control

Unit 3: Auditing and Logging

Unit 4: Data Governance Compliance