Phoneix Ideas source-to-target and data quality validations are included in the testing services for ETL and data analytics. A data warehouse system receives the data after it has been extracted from various heterogeneous data sources (such as relational databases, CSV files, spreadsheets, etc.), transformed (using calculations, mapping data fields, etc.), and loaded. Then, you may create useful reports, dashboards, and visualizations using a variety of Business Intelligence (BI) tools.

Big Data is experiencing exponential growth in support. The majority of ETL products now offer big data integration solutions.

Before data is processed for analytical reporting, data quality problems and common errors must be found and mitigated. This is the main goal of ETL testing. Incorrect ETL can contaminate the entire system.