Big Data Indexing: Surviving consumer motivated mentality

Consumer behavior undeniably motivates society. Large companies utilize databases to store products purchased by millions. Indexing allows a user to move through millions of data rows in seconds. Indexing allows a user to recall information categorically. A phone book organizes information in a similar way: categorically according to alphabet. Instead of searching every entry, a user searches the information in the relevant letter group. Indexes undeniably help users access data quickly; however, indexes require storage space as they utilize two additional columns for the search key and data reference. Indexing causes more work for the database designer as the index must be updated whenever a database receives an update. Updating the indexing in a small database with little traffic may seem simple; however, a database that receives a lot of traffic like amazon requires frequent updates. A covering index improves query optimization by eliminating key lookup. An execution plan allows an updated query to highlight the relevant data without unnecessarily spending time to select irrelevant data. A small change that includes millions of rows of data significantly improves the speed of a large database.

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