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2. Lookup table - Wikipedia

   en.wikipedia.org/wiki/Lookup_table

   There are two fundamental limitations on when it is possible to construct a lookup table for a required operation. One is the amount of memory that is available: one cannot construct a lookup table larger than the space available for the table, although it is possible to construct disk-based lookup tables at the expense of lookup time.

3. Database index - Wikipedia

   en.wikipedia.org/wiki/Database_index

   A database index is a data structure that improves the speed of data retrieval operations on a database table at the cost of additional writes and storage space to maintain the index data structure. Indexes are used to quickly locate data without having to search every row in a database table every time said table is accessed.

4. Pivot table - Wikipedia

   en.wikipedia.org/wiki/Pivot_table

   A pivot table is a table of values which are aggregations of groups of individual values from a more extensive table (such as from a database, spreadsheet, or business intelligence program) within one or more discrete categories. The aggregations or summaries of the groups of the individual terms might include sums, averages, counts, or other ...

5. Data vault modeling - Wikipedia

   en.wikipedia.org/wiki/Data_Vault_Modeling

   As such, reference data lives in separate tables from the raw Data Vault tables. [27] Reference tables are referenced from Satellites, but never bound with physical foreign keys. There is no prescribed structure for reference tables: use what works best in your specific case, ranging from simple lookup tables to small data vaults or even stars.

6. Schema crosswalk - Wikipedia

   en.wikipedia.org/wiki/Schema_crosswalk

   A schema crosswalk is a table that shows equivalent elements (or "fields") in more than one database schema.It maps the elements in one schema to the equivalent elements in another.

7. Talk:Lookup table - Wikipedia

   en.wikipedia.org/wiki/Talk:Lookup_table

   The reason is quite simple: any lookup table that takes an extremely long time to compute also takes up an extremely large amount of space. Space is the fundamental limitation. Say you have a 10 terabyte drive filled with a lookup table and each element takes a microsecond to compute. Then the total time is only 16 weeks, which isn't that bad.