Managing data in the past, present, and future means mastering the SQL standard.
SQL is versatile enough to encompass any type of data in Big Data systems: relational (SQL2) object-relational (SQL3, OQL)
and non-relational (N.O.SQL, NEWSQL)
Retrieve row and column data from tables with the SELECT statement
Create reports of sorted and restricted data
Employ SQL functions to generate and retrieve customized data
Run complex queries to retrieve data from multiple tables
Run data manipulation language (DML) statements to update data in a database
Run data definition language (DDL) statements to create and manage schema objects
Academic course
Object-Relational Data Bases & SQL Standard
Master the concepts of the relational data model underlying the SQL standard (Codd's theorem on relational algebra, Gray's theorem on transactions, OLAP)
Master SQL2 for relational data model (definition, manipulation & control)
Master SQL3 for relational-object data models (Date's manifesto) with integration of line pointers within tables
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