Apar Technologies ETL Tester Interview Questions, Process, and Tips

Scrum ceremonies are regular meetings held in Agile development to facilitate collaboration, planning, and review.

• Scrum ceremonies are time-boxed events that occur at specific intervals during a sprint.

• The ceremonies include Sprint Planning, Daily Stand-up, Sprint Review, and Sprint Retrospective.

• Sprint Planning involves determining the work to be done in the upcoming sprint.

• Daily Stand-up is a brief meeting where team...read more

Data reconciliation is the process of comparing and verifying data between two or more sources to ensure accuracy and consistency.

• Data reconciliation involves comparing data from different sources, such as databases or files.

• It aims to identify any discrepancies or inconsistencies in the data.

• Reconciliation can be done by comparing data values, counts, or summaries.

• Examples include comparing sales data between a point-...read more

Data acquisition is the process of collecting, gathering, and capturing data from various sources.

• Data acquisition involves retrieving data from different sources such as databases, files, APIs, or sensors.

• It is an essential step in the ETL (Extract, Transform, Load) process.

• Data acquisition can be manual or automated, depending on the source and the system being used.

• Examples of data acquisition include extracting cus...read more

Union combines the result sets of two or more SELECT statements, while Union All combines all rows from two or more SELECT statements.

• Union removes duplicate rows from the result set, while Union All does not.

• Union requires that the number and order of columns in all SELECT statements be the same, while Union All does not have this requirement.

• Union is slower than Union All because it performs a distinct operation, whi...read more

Data migration testing procedures involve verifying the accuracy, completeness, and integrity of data during the migration process.

• Identify the source and target databases

• Develop test cases to validate data migration

• Perform data mapping and transformation testing

• Verify data integrity and consistency

• Validate data completeness and accuracy

• Test data rollback and recovery procedures

• Perform performance testing on data migra