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🔄 Data Transformation Patterns

Tutorial Duration Level

Master common data transformation patterns including cleansing, enrichment, aggregation, and complex business logic implementation.

📋 Table of Contents

🎯 Transformation Approaches

Approach Best For Complexity Performance
Copy Activity Simple mappings Low High
Mapping Data Flow Visual transformations Medium Medium-High
SQL Queries Database transformations Low-Medium High
Databricks Complex logic High Very High
Synapse Spark Big data processing High Very High

🗺️ Mapping Data Flows

Visual data transformation designer.

Basic Transformations

  • Select: Choose and rename columns
  • Filter: Remove unwanted rows
  • Derived Column: Create calculated fields
  • Aggregate: Group and summarize data
  • Join: Combine datasets
  • Lookup: Enrich data
  • Sort: Order data
  • Window: Ranking and analytics

Sample Data Flow

{
  "name": "CustomerEnrichmentDataFlow",
  "properties": {
    "type": "MappingDataFlow",
    "typeProperties": {
      "sources": [
        {
          "name": "CustomerSource",
          "dataset": {"referenceName": "CustomersDataset"}
        },
        {
          "name": "OrdersSource",
          "dataset": {"referenceName": "OrdersDataset"}
        }
      ],
      "transformations": [
        {
          "name": "AggregateOrders",
          "type": "Aggregate",
          "groupBy": "CustomerID",
          "aggregates": {
            "TotalOrders": "count()",
            "TotalRevenue": "sum(Amount)"
          }
        },
        {
          "name": "JoinWithCustomers",
          "type": "Join",
          "leftSource": "CustomerSource",
          "rightSource": "AggregateOrders",
          "joinType": "left",
          "condition": "CustomerSource.CustomerID == AggregateOrders.CustomerID"
        }
      ],
      "sinks": [
        {
          "name": "EnrichedCustomers",
          "dataset": {"referenceName": "OutputDataset"}
        }
      ]
    }
  }
}

📚 Additional Resources

🚀 Next Steps

→ 10. Error Handling & Retry Logic

Module Progress: 9 of 18 complete

Tutorial Version: 1.0 Last Updated: January 2025