Relational database systems

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  • Database management systems are now an indispensable tool for managing information, and a course on the principles and practice of database systems is now an integral part of computer science curricula. This book covers the fundamentals of modern database management systems, in particular relational database systems. We have attempted to present the material in a clear, simple style. A quantitative approach is used throughout with many detailed examples.

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  • In Ebook Principles of Distributed Database Systems defines the fundamental concepts and set the framework for discussing distributed databases. We start by examining distributed systems in general in order to clarify the role of database technology within distributed data processing, and then move on to topics that are more directly related to DDBS.

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  • System R itself was never produced commercially, but directly led to the development of SQL/DS (1981 running under DOS/VE OS, a VM version followed in 1982) which was IBM’s first commercial relational DBMS. • IBM however, did not produce the first commercial implementation of a relational DBMS. That honor went to Oracle (Relational Software) in 1979. • Today, the relational DBMS system of virtually all vendors is based on SQL. • Each vendor provides all the standard features of SQL. Most vendors also provide additional features of their own, called extensions to standard SQL.

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  • Ebook "Database System Concepts" present on: Relational databases, database design, data storage and querying, transaction management, system architecture, data warehousing, data mining, and information retrieval,...

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  • Chapter 7 discusses how to design a relational database schema based on a conceptual schema design. This chapter presented a high-level view of the database design process, and in this chapter we focus on the logical database design or data model mapping step of database design. We present the procedures to create a relational schema from an Entity-Relationship (ER) or an Enhanced ER (EER) schema.

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  • After studying this chapter, you should be able to: Explain the importance and advantages of databases, as well as the difference between database systems and file-based legacy systems; explain the difference between logical and physical views of a database; explain fundamental concepts of database systems such as DBMS, schemas, the data dictionary, and DBMS languages;...

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  • In this chapter, the learning objectives are: Integrate separate REA diagrams for individual business cycles into a single, comprehensive organization-wide REA diagram; build a set of tables to implement an REA model of an AIS in a relational database; explain how to write queries to retrieve information from an AIS relational database built according to the REA data model.

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  • Database System: Chapter 2 - The Relational Data Model & SQL includes about Relational Model Concepts, Relational Model Constraints and Relational Database Schemas, Update Operations and Dealing with Constraint Violations, Basic SQL.

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  • Database System: Chapter 4 - The Relational Algebra and Calculus presents about Relational Algebra (Unary Relational Operations, Relational Algebra Operations From Set Theory, Binary Relational Operations, Additional Relational Operations, Examples of Queries in Relational Algebra); Relational Calculus.

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  • Database System: Chapter 6 - Relational Database Design by ER and EERR-to-Relational Mapping presents about ER-to-Relational Mapping Algorithm, Mapping EER Model Constructs to Relations (Options for Mapping Specialization or Generalization, Mapping of Union Types (Categories).

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  • Database System: Chapter 7 - Functional Dependencies includes Informal Design Guidelines for Relational Databases (Semantics of the Relation Attributes, Redundant Information in Tuples and Update Anomalies, Null Values in Tuples, Spurious Tuples), Functional Dependencies (FDs).

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  • Database System: Chapter 8 - Normalization for Relational Databases includes Normal Forms Based on Primary Keys (Normalization of Relations, Practical Use of Normal Forms, Definitions of Keys and Attributes Participating in Keys,...), General Normal Form Definitions (For Multiple Keys), BCNF (Boyce-Codd Normal Form).

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  • Database System: Chapter 10 - Query Processing and Optimization Introduction to Query Processing, Translating SQL Queries into Relational Algebra, Translating SQL Queries into Relational Algebra, Using Selectivity and Cost Estimates in Query Optimization, Overview of Query Optimization in Oracle.

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  • Database Systems: Lecture 4 - Relational Data Model and ER-/EER-to-Relational Mapping provides about Relational Data Model, ER-/EER-to-Relational Mapping, Relational Integrity Constraints, Update Operations on Relations, Main Phases of Database Design.

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  • Database Systems: Lecture 5 - Relational Algebra presents about Relational Algebra (Unary Relational Operations, Relational Algebra Operations from Set Theory, Binary Relational Operations, Additional Relational Operations), Brief Introduction to Relational Calculus.

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  • Database Systems: Lecture 8 & 9 - Functional Dependencies & Normalization for Relational DBs includes about Functional dependencies (FDs), Normalization (1NF and dependency problems, 2NF – solves partial dependency, 3NF – solves indirect dependency, BCNF – well-normalized relations), Notes and suggestions.

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  • Database Systems: Lecture 11 - Practical Database Design and Tuning presents about Practical Database Design and Tuning (Physical Database Design in Relational Databases, An Overview of Database Tuning in Relational Systems).

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  • Chapter 8 describes more advanced features of the SQL language standard for relational databases. In this chapter present more complex features of SQL retrieval queries, such as nested queries, joined tables, outer joins, aggregate functions, and grouping.

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  • Chapter 10 present functional dependencies and normalization for relational databases. This chapter includes contents: Informal design guidelines for relational databases, functional dependencies (FDs), normal forms based on primary keys, general normal form definitions (For Multiple Keys), BCNF (Boyce-Codd Normal Form).

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  • Chapter 11 present the contents: Designing a set of relations, properties of relational decompositions, algorithms for relational database schema, multivalued dependencies and fourth normal form, join dependencies and fifth normal form, inclusion dependencies, other dependencies and normal forms.

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