ETL without code: Custom SQL Transformation

What You'll Learn

This tutorial demonstrates how to perform custom SQL transformations during migration with DBConvert Streams, enabling no-code ETL workflows. Perfect for data engineers who need to transform data during the migration process.

Tutorial Coverage

• ETL Concepts: Understanding Extract, Transform, Load principles
• Custom SQL Queries: Writing transformation queries for data migration
• Data Filtering: Selecting specific data subsets during migration
• Field Mapping: Transforming column names and data types
• Data Cleansing: Cleaning and standardizing data during transfer
• Performance Optimization: Efficient transformation strategies

Prerequisites

• DBConvert Streams deployed and running
• Basic SQL knowledge for writing transformation queries
• Source and target database connections configured
• Understanding of your data transformation requirements

ETL Transformation Features

• Custom SQL Queries: Write complex transformations using SQL
• Field Calculations: Perform calculations and data manipulation
• Data Filtering: Include/exclude data based on conditions
• Join Operations: Combine data from multiple tables
• Aggregations: Summarize and group data during transfer
• Data Type Conversion: Transform data types between systems

Common Use Cases

• Data Warehousing: Transform OLTP data for analytics
• System Modernization: Restructure legacy data formats
• Data Consolidation: Merge data from multiple sources
• Compliance: Mask or anonymize sensitive data
• Business Rules: Apply business logic during migration