Answer: Amazon Redshift

## Explanation **Amazon Redshift** is the correct choice because: - **Data Warehouse Purpose**: Amazon Redshift is specifically designed as a cloud data warehouse service optimized for large-scale data analytics - **Terabyte-Scale Storage**: It can handle petabytes of data, easily supporting terabytes as mentioned in the requirement - **Complex Analytic Queries**: Redshift uses columnar storage and massively parallel processing (MPP) architecture, making it ideal for complex analytical queries and business intelligence workloads - **Performance**: Optimized for read-heavy analytical workloads with advanced query optimization and compression **Why other options are incorrect**: - **Amazon DynamoDB**: NoSQL database service, not designed for complex analytic queries or data warehousing - **Amazon S3**: Object storage service, not a database or data warehouse - can store data but doesn't process queries - **Amazon Aurora**: Relational database optimized for OLTP (Online Transaction Processing), not OLAP (Online Analytical Processing) workloads Amazon Redshift is AWS's fully managed, petabyte-scale data warehouse service specifically built for large-scale data analytics and complex query processing.

Author: Ritesh Yadav