SQL (Structured Query Language) is a standard language for managing relational databases, widely used in the industry for data management, query execution, and data retrieval. An SQL interview may cover topics such as SQL basics (syntax and basic commands such as SELECT, FROM, WHERE, and JOIN), database management (database design, normalization, and table relationships), advanced SQL (aggregate functions, subqueries, and stored procedures), data modification (inserting, updating, and deleting data), and database performance (optimization, indexing, and query optimization). The goal is to demonstrate practical knowledge and experience with SQL, and the ability to analyze and solve real-world problems.
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Data warehousing involves collecting and managing large amounts of data from various sources for analysis and reporting purposes. An interview for a data warehousing role may cover topics such as data warehouse design, including dimensional modeling, star and snowflake schemas, and ETL (Extract, Transform, Load) processes. The aim is to assess the candidate's understanding of data warehousing concepts and their ability to design and implement efficient data warehousing solutions.
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