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Indexes are useful for many applications but come with some limitations. Consider the following SQL statement: SELECT first_name FROM people WHERE last_name = 'Smith';. To process this statement without an index the database software must look at the last_name column on every row in the table (this is known as a full table scan).
In computer science, a lookup table (LUT) is an array that replaces runtime computation with a simpler array indexing operation, in a process termed as direct addressing.The savings in processing time can be significant, because retrieving a value from memory is often faster than carrying out an "expensive" computation or input/output operation. [1]
Returns the value of the cell(s) in one or more output columns of the row matching the search key and column. This function is reminiscent of LOOKUP() macros in popular spreadsheet applications, except that the search key must match exactly. (On the other hand, this means the table does not need to be sorted.)
Whenever any table is updated, all reports referencing the table are also updated. Dropdown lists for a table can be modified in place. Lookup Fields, which get their values by "looking up" some value in a table, have been updated to support multi valued lookups. Many new preset schemata are included.
Record linkage (also known as data matching, data linkage, entity resolution, and many other terms) is the task of finding records in a data set that refer to the same entity across different data sources (e.g., data files, books, websites, and databases).
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