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ETL

1. Data Extraction

Identify the source systems and data repositories

Determine the extraction method (full, incremental, or delta)

Define the extraction schedule (real-time, batch, or scheduled)

Validate the source data quality and integrity

Establish data extraction rules and transformations

2. Data Transformation

Analyze the extracted data for inconsistencies, anomalies, and errors

Define the transformation rules and logic

Cleanse, filter, and normalize the data as required

Handle missing or incomplete data

Apply any necessary data enrichment or aggregation

3. Data Loading

Determine the target data storage structure (database, data warehouse, etc.)

Define the loading mechanism (bulk, incremental, or real-time)

Validate the target data schema and format

Establish data loading rules and mappings

Ensure data integrity during the loading process

4. Data Validation

Verify the accuracy and completeness of the transformed and loaded data

Perform data quality checks (e.g., duplicate records, data type validation)

Validate data against business rules and requirements

Compare source and target data for consistency

Ensure data security and privacy compliance

5. Error Handling and Logging

Establish error handling mechanisms (retry, skip, log, etc.)

Define error notification and reporting procedures

Implement logging mechanisms to track ETL process execution

Monitor and analyze error logs for troubleshooting and improvements

Ensure proper handling of exceptions and failures

6. Performance Optimization

Identify potential performance bottlenecks in the ETL process

Optimize data extraction, transformation, and loading steps

Implement parallel processing for time-consuming tasks

Tune database queries and optimize data storage structures

Monitor and analyze performance metrics for continuous improvement

7. Documentation and Maintenance

Document ETL process design, rules, and mappings

Maintain version control for ETL scripts and configurations

Update documentation to reflect any changes or enhancements

Establish a maintenance schedule for ETL jobs and infrastructure

Provide training and knowledge transfer to the support team

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