Data Migration Consultant Interview Questions and Answers

Migrating on premise application to cloud involves assessing current infrastructure, selecting appropriate cloud provider, planning migration strategy, testing and executing the migration.

• Assess current infrastructure and application dependencies

• Select appropriate cloud provider based on requirements (e.g. AWS, Azure, Google Cloud)

• Plan migration strategy including data migration, application migration, and testing

• Execute migration plan ensuring minimal downtime and data loss

• M...read more

Null data values in joins can be handled using COALESCE function or LEFT JOIN with IS NULL condition.

• Use COALESCE function to replace null values with a specified default value

• Use LEFT JOIN with IS NULL condition to include rows with null values in the result set

• Consider using CASE statements to handle null values based on specific conditions

Syniti ADM data flow is a structured process for efficient data migration and management.

• Data Assessment: Evaluate existing data quality and structure before migration.

• Data Mapping: Define how source data translates to target systems.

• Data Transformation: Cleanse and format data to meet target requirements.

• Data Loading: Transfer data into the target system using automated tools.

• Validation: Ensure data integrity and accuracy post-migration.

The data migration process flow involves planning, extraction, transformation, validation, and loading of data.

• 1. Planning: Define scope, objectives, and timeline for the migration project.

• 2. Data Extraction: Retrieve data from the source system, e.g., exporting data from a legacy database.

• 3. Data Transformation: Cleanse and format data to meet the requirements of the target system, e.g., converting date formats.

• 4. Data Validation: Ensure data integrity and accuracy through t...read more

Data migration involves transferring data from one system to another while ensuring data integrity and accuracy.

• Assess the source and target systems to determine the scope of migration

• Extract data from the source system and transform it to fit the target system

• Load the transformed data into the target system and validate it for accuracy

• Perform testing and reconciliation to ensure data integrity

• Implement post-migration activities such as data archiving and cleanup

SQL query order of execution determines the sequence in which different parts of a query are processed.

• SQL query is parsed and checked for syntax errors

• Query optimizer creates an execution plan

• Data is retrieved from tables based on the execution plan

• Filters and joins are applied to the retrieved data

• Aggregations and calculations are performed on the filtered data

Types of backups include full, incremental, differential, and snapshot.

• Full backup: copies all data

• Incremental backup: copies changes since last backup

• Differential backup: copies changes since last full backup

• Snapshot backup: captures a point-in-time image of data

• Examples: Veeam, Acronis, Backup Exec

Joins are used to combine rows from two or more tables based on a related column between them.

• Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.

• INNER JOIN returns rows when there is at least one match in both tables.

• LEFT JOIN returns all rows from the left table and the matched rows from the right table.

• RIGHT JOIN returns all rows from the right table and the matched rows from the left table.

• FULL JOIN returns rows when there is a match in one of the tabl...read more