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<br>ETL (Extract, Transform, Load) is a data integration process used to gather data from multiple sources, transform it into a suitable format, and load it into a target system like a data warehouse. It plays a key role in data analytics, reporting, and decision-making by ensuring accurate, consistent, and organized data flow across systems.
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Tpoint Tech ETL Testing Interview Questions Essential for data integrity in data warehousing. Focus on Extract, Transform, Load validation. Key skill for data analysts and ETL developers. https://www.tpointtech.com/etl-testing-interview-questions +91-9599086977 Tpoint Tech
What is ETL Testing? Data Accuracy Validation Completeness & Consistency Error Detection Ensures data precision during extraction, transformation, and loading phases. Identifies data loss, duplication, and transformation errors early. Verifies data integrity, preventing loss, duplication, and inconsistencies. Tpoint Tech
Overview of ETL Process Extract Transform Load Retrieve data from diverse sources into a staging area. Clean, validate, convert, and combine data according to rules. Insert the refined, transformed data into the target data warehouse. Tpoint Tech
Types of ETL Testing Production Validation Source-to-Target Verify data accuracy in live production systems. Cross-check data values and record counts between source and destination. Metadata & Performance Transformation & Quality Validate data types, lengths, and ensure timely ETL completion. Confirm business rule compliance and check for duplicates or invalid data. Tpoint Tech
Common ETL Tools Tpoint Tech
Key Challenges & Data Quality Diverse Data Sources Handling complex data from varied origins. Schema & Incremental Loads Managing changes and ensuring efficient updates. Accuracy & Consistency Guaranteeing reliable and complete data. Performance Optimization Meeting time limits for large data volumes. Error Resolution Detecting and fixing duplication or truncation issues. Tpoint Tech
ETL Testing Interview Sample Questions • Explain ETL process & components. • Types of ETL testing & purposes. • Ensuring data quality & performance? • ETL vs. ELT: key differences? • Schema changes during ETL: how to handle? • How to validate extracted data? • SQL queries for duplicate detection? Tpoint Tech
Tpoint Tech Summary ETL testing is critical for trustworthy data analytics. Covers validation of extraction, transformation, and loading. Requires knowledge of tools, testing types, and challenges. Prepare with practical scenarios and SQL query skills. Mastery boosts confidence and interview success. https://www.tpointtech.com/etl-testing-interview-questions +91-9599086977 Tpoint Tech