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Database normalization is the process of structuring a relational database accordance with a series of so-called normal forms in order to reduce data redundancy and improve data integrity. It was first proposed by British computer scientist Edgar F. Codd as part of his relational model .
Multi-master replication can be contrasted with primary-replica replication, in which a single member of the group is designated as the "master" for a given piece of data and is the only node allowed to modify that data item. Other members wishing to modify the data item must first contact the master node.
Any duplicate records are automatically removed unless UNION ALL is used. UNION can be useful in data warehouse applications where tables are not perfectly normalized . [ 2 ] A simple example would be a database having tables sales2005 and sales2006 that have identical structures but are separated because of performance considerations.
PostgreSQL (/ ˌ p oʊ s t ɡ r ɛ s k j u ˈ ɛ l / POHST-gres-kew-EL) [11] [12] also known as Postgres, is a free and open-source relational database management system (RDBMS) emphasizing extensibility and SQL compliance.
Some databases provide UUID/GUID as a possible data type for surrogate keys (e.g. PostgreSQL UUID [3] or SQL Server UNIQUEIDENTIFIER [4]). Having the key independent of all other columns insulates the database relationships from changes in data values or database design [5] (making the database more agile) and guarantees uniqueness.
Some database implementations adopted the term upsert (a portmanteau of update and insert) to a database statement, or combination of statements, that inserts a record to a table in a database if the record does not exist or, if the record already exists, updates the existing record. This synonym is used in PostgreSQL (v9.5+) [2] and SQLite (v3 ...
In computing, data deduplication is a technique for eliminating duplicate copies of repeating data. Successful implementation of the technique can improve storage utilization, which may in turn lower capital expenditure by reducing the overall amount of storage media required to meet storage capacity needs.
HammerDB is used to create a test schema, load it with data and simulate the workload of multiple virtual users against the database for both transactional and analytic scenarios. HammerDB makes it possible to run derived workloads of the industry standard TPROC-C & TPROC-H (known by trademarks TPC-C and TPC-H respectively) so they can compare ...