An 'index' is a data structure that helps quickly locate specific information within a larger dataset. Think of it like a table of contents for a book, allowing you to easily find a particular chapter or section.

Purpose of an Index:

  • Faster data retrieval: By providing a shortcut to data, indexes eliminate the need to scan through the entire dataset. This significantly speeds up searches and queries.
  • Improved performance: Indexes enhance the efficiency of data operations, leading to faster database queries, improved search results, and overall better system performance.

Examples of Indexes:

  • File system indexes: Operating systems use indexes to track the location of files and folders on a disk. This allows you to quickly find a specific file without searching through every directory.
  • Database indexes: Databases rely on indexes to efficiently retrieve records. A key field (like customer ID or product name) is indexed, creating a faster path to access relevant records.
  • Search engine indexes: Web search engines use indexes to store information about web pages and their content. This enables them to quickly locate and rank relevant pages when you perform a search.

Key Features of Indexes:

  • Organized data: Indexes arrange data in a structured manner, facilitating efficient retrieval.
  • Key-value pairs: They often consist of key-value pairs, where the key points to the location of the associated value.
  • Dynamic updates: Indexes are usually dynamic, allowing for the addition, deletion, and modification of data without losing efficiency.
Index: Definition, Purpose & Examples

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