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1.4 - Introduction to SQL and database objects
1.4 - Introduction to SQL and database objects

...  Schemas are name spaces for a collection of database objects  All database objects (except public synonyms) are qualified by a two-part name: .  A fully qualified object name must be unique ...
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JPA (Java Persistence API)
JPA (Java Persistence API)

... JPA (Java Persistence API) Java ORM, JPA and Hibernate CRUD Operations with JPA ...
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... – Locks are obtained throughout the transaction. – No lock is released until the COMMIT or ROLLBACK command is issued. – This strategy is more restrictive but easier to implement than two-phase locking. KROENKE AND AUER - DATABASE PROCESSING, 13th Edition © 2014 Pearson Education, Inc. ...
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... information sharing is desirable for several reasons. First, increased levels of security can be achieved if different government agencies share information. These effects can be felt in areas as diverse as global counter-terrorism (Goodman, 2001), homeland security (Rights., 1984) and the war on dr ...
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... domain. The extension of a relation is the set of tuples in the relation. A database schema is a set of relation schemata indexed by relation name. A database extension is a set of relation extensions? one for each relation in the database schema. A database view definition is a mapping whose domain ...
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... executable instructions that cause the computer to determine that the query does not access any attribute in the parent table other than the pk. The program further includes executable instructions that cause the computer to determine that the ...
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... like arrays and maps, and nested compositions of the same. Hive consists of three parts: • Metastore over Hadoop • Libraries for (De)Serialization • Query Engine(HQL) The Metastore acts as the system catalog for Hive. It stores all the information about the tables, their partitions, the schemas, the ...
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... and rated on a variety of dimensions, such as Theoretical, or Applied. d. Another deliverable would consist of the analyses of the articles. To start, we divided the existing list of articles among the class members. Each class member needed to find the PDF version (if not already available via the ...
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CS 245: Database System Principles

... Spring ...
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Relational model



The relational model for database management is an approach to managing data using a structure and language consistent with first-order predicate logic, first described in 1969 by Edgar F. Codd. In the relational model of a database, all data is represented in terms of tuples, grouped into relations. A database organized in terms of the relational model is a relational database.The purpose of the relational model is to provide a declarative method for specifying data and queries: users directly state what information the database contains and what information they want from it, and let the database management system software take care of describing data structures for storing the data and retrieval procedures for answering queries.Most relational databases use the SQL data definition and query language; these systems implement what can be regarded as an engineering approximation to the relational model. A table in an SQL database schema corresponds to a predicate variable; the contents of a table to a relation; key constraints, other constraints, and SQL queries correspond to predicates. However, SQL databases deviate from the relational model in many details, and Codd fiercely argued against deviations that compromise the original principles.
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