Index
In data science, an index is a data structure that improves the speed of data retrieval operations on a database table. It works by creating a pointer to the location of data in a table, allowing for faster access to specific data. Indexing is particularly useful for large datasets, where searching through the entire dataset can be time-consuming. There are different types of indexes, including clustered and non-clustered indexes, which differ in how they store and retrieve data. Clustered indexes store data in the same order as the index, while non-clustered indexes store a separate copy of the data in the index. Creating an index involves selecting the appropriate columns to index and specifying the type of index to use. However, indexing can also have drawbacks, such as increased storage requirements and slower data insertion and update operations.
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