Data Warehouse Administrator interview questions

Data Warehousing Concepts
ETL Processes

Check out 10 of the most common Data Warehouse Administrator interview questions and take an AI-powered practice interview

10 of the most common Data Warehouse Administrator interview questions

What are the primary responsibilities of a Data Warehouse Administrator?

A Data Warehouse Administrator is responsible for managing and overseeing the warehouse environment, which includes design, implementation, maintenance, and security of the data warehouse.

Can you explain the ETL process in the context of data warehousing?

ETL stands for Extract, Transform, Load. It's the process of extracting data from various sources, transforming it to fit operational needs, and loading it into a data warehouse.

What steps do you take to ensure data integrity in a data warehouse?

Ensuring data integrity involves implementing validation checks, conducting routine audits, and using data cleansing techniques to maintain accuracy and consistency.

How do you optimize query performance in a data warehouse?

Optimizing query performance can be achieved through indexing, partitioning, query rewriting, using complex views and ensuring proper database tuning.

What are some of the challenges faced in data warehouse management?

Challenges include handling large volumes of data, ensuring data quality, managing data integration from disparate sources, and maintaining system performance and scalability.

How do you handle data security in a data warehouse?

Data security can be handled via access control, encryption, auditing, regular patching and updates, and ensuring compliance with data protection regulations like GDPR.

What tools or technologies do you typically use for data warehousing?

Common tools and technologies include SQL Server, Oracle, IBM DB2, Apache Hadoop, Amazon Redshift, and ETL tools like Informatica and Talend.

How do you handle data warehouse backups and recovery?

Regular backup schedules, automated backup systems, testing recovery processes, and ensuring backups are stored securely offsite are some of the practices followed.

What strategies do you use for data warehouse capacity planning?

Capacity planning involves analyzing growth trends, assessing future requirements, optimizing storage, and ensuring scalable infrastructure to accommodate increasing data volumes.

Can you discuss the role of metadata in data warehousing?

Metadata in data warehousing is crucial for data management as it provides data documentation, ensures data accuracy, and acts as a directory to help users find the data they need.

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Data Warehousing Concepts
ETL Processes
Software Engineering