This document discusses NoSQL databases and provides examples of their structure and use. It begins by defining NoSQL as any database that is not relational and explains some of the reasons for using NoSQL, including large data size, complex data structures, and weaknesses in relational database architectures. It then provides examples of data structures for key-value stores, document databases, and graph databases. The document concludes by discussing potential formats for saving NoSQL data like YAML, XML, and JSON and considers both advantages like scalability and disadvantages like limited querying of NoSQL databases.
11. How about Perfomance? RDBMS Performance ApplictionsSalary ListRelational databaseMajority of web sitesPerformanceSocial networksSemantic WebContent complexity
14. Graph databasesContent structure in NoSQLKey-Value stores structureName_231@ali@alavi@...user29key value Note: The value has no meaning for DBMS
15. Content structure in NoSQLDocument database structure{ name: ali,familt: alavi, address: mashh..}user29keydocument Note: The value understood by DBMS
16. Content structure in NoSQLGraph databasesalinamealavifamilyauthorblog12user23alavi@yahoo.comadminemailauthoruser2familyblog22namephonerezaireza+123325645