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Mining real world data RDBMS and SQL Index • RDBMS introduction • SQL (Structured Query language) RDBMS • RDBMS stands for relational database management systems. • RDBMS imports the basic advantages of the DBMS (Data base management systems). • There are many advantages of using RDBMS for storing relational data than other storage mechanisms. • Few popular RDBMS examples include Sybase, Oracle etc Advantages of RDBMS • Easy for backup and recovery. • Easy accessibility and query based protocols ensure good interactivity. • Security and privacy ensured by maintenance of a key (Primary / Foreign key) • Supporting multiple format file structures with multi level indexing. SQL (Structured Query language) • SQL is a popular query language used in RDBMS. • SQL provides us with many clauses to view the kind of data we need from the tables in the RDBMS. So effectively SQL mines the RDBMS for patterns. • Patterns are specified with clauses. Few of common clauses and usage will be explained in the next slide. SQL Clauses/ Query structure • SELECT : Specifies what attributes from the table are to be selected. • FROM: Specifies the table name • WHERE: Specifies the condition based on which we want to extract records from the table. • It also supports logical operators such as AND , OR etc Additional facilities • SQL also supports nested queries using the IN clause. • There are also facilities to join tables by specifying the JOIN condition in the where clause to selectively view tuples from multiple tables which satisfy a certain condition. • Aggregation operators such as MIN, MAX, SUM and AVG are also supported.