Data Manager Interview Questions and Answers

I perform data management using a variety of methodologies tailored to the specific needs of the project.

• Utilize data modeling techniques to design databases

• Implement data quality checks and validation processes

• Leverage data visualization tools for analysis and reporting

• Follow best practices for data security and compliance

• Stay updated on industry trends and advancements in data management

Agile methodologies within data migration involve iterative and incremental processes to efficiently move data from one system to another.

• Scrum: Breaks down the data migration process into smaller tasks called sprints, with regular meetings to track progress.

• Kanban: Visualizes the data migration workflow on a board, allowing for continuous delivery of data.

• Lean: Focuses on minimizing waste and maximizing value during the data migration process.

• DevOps: Integrates development a...read more

CTE is a temporary result set defined within the execution scope of a single SELECT, INSERT, UPDATE, DELETE, or CREATE VIEW statement. Subquery is a query nested within another query.

• CTE stands for Common Table Expression and is defined using the WITH keyword.

• CTEs can be referenced multiple times in a query.

• Subquery is enclosed within parentheses and can only be referenced once in a query.

• Subqueries can be correlated or non-correlated.

Using window functions to query data

• Use functions like ROW_NUMBER(), RANK(), DENSE_RANK(), and NTILE() to perform calculations within a window of data

• Window functions allow you to perform aggregate functions on a specific subset of rows within a result set

• You can use window functions to calculate running totals, moving averages, and other analytical functions

Data migration is the process of transferring data from one system to another.

• Data migration involves transferring data from one storage system to another.

• It can also involve moving data from one format to another.

• Data migration is often necessary when upgrading systems or consolidating data.

• Examples include migrating data from an old CRM system to a new one, or moving data from on-premises servers to the cloud.

I have worked on relational databases such as MySQL, PostgreSQL, and Oracle, as well as NoSQL databases like MongoDB and Cassandra.

• Relational databases: MySQL, PostgreSQL, Oracle

• NoSQL databases: MongoDB, Cassandra