Question 15 4 pts There are two main approaches to data storage: row storage and a column-oriented storage. Most databas
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Question 15 4 pts There are two main approaches to data storage: row storage and a column-oriented storage. Most databas
Question 15 4 pts There are two main approaches to data storage: row storage and a column-oriented storage. Most database systems, such as PostgreSQL, use a row-storage organisation, and CSV files follow the same principle: All attributes of a data record are stored in one 'row' close together. For analytical workloads, a column-oriented storage promises some benefits though. 1. Explain on the example of the following CSV file how you would organise the data as column store. 2. Give an example of a query for which could benefit from such a column-oriented storage of the data in this scenario. mobileID, start, end, duration, mobilecell, type, cos ts, ... 3, SYD01, 56565656, 2021-07-01 13:22, 2021-07-01 13:25, 4G, 0.09 5, SYD08, 12345678, 2021-07-01 14:35, 2021-07-01 14:40, 4G, 0.15 9, SYD22, 89012367, 2021-07-01 14:42, 2021-07-01 14:51, 5G, 0.25 SYD22, 13579000, 2021-07-01 14:50, 2021-07-01 14:52, 5G, 0.18 10293847, 2021-07-01 14:55, 2021-07-01 15:11, GLB14, 3G, 1.56 ... 2, 16,