Preparing Data for Tableau: ETL Best Practices

Extract, Transform, and Load (ETL) processes are crucial for optimizing data for Tableau visualizations. Best practices include:

• Extract: Source data from reliable databases, cloud storage, or APIs, ensuring consistency and accuracy.
• Transform: Clean and structure data by handling missing values, removing duplicates, standardizing formats, and creating calculated fields.
• Load: Optimize data storage using efficient formats (e.g., Hyper, CSV, or database connections) and ensure proper indexing for performance.

Additionally, using Tableau Prep can streamline ETL workflows, improving data quality and visualization efficiency.