Database Systems: Lecture 1 - Database System Concepts and Architecture presents about File-based Approach, Database Approach, Three-Schema Architecture and Data Independence, Database Languages, Data Models, Database Schema and Database State, Data Management Systems Framework.
Chapter 1 introduce database system concepts and architecture. This chapter includes content: File-based approach and database approach; three-schema architecture and data independence; database languages; data models, database schema, database state;... inviting you to refer.
In this chapter, you learned to: File-based approach and shared file approach; database approach; three-schema architecture and data independence; database languages, data models, database schemas and database states; classification of DBMS; data management systems framework.
Database management has evolved from a specialized computer application to a
central component of a modern computing environment, and, as a result, knowl-
edge about database systems has become an essential part of an education in com-
puter science. In this text, we present the fundamental concepts of database manage-
ment. These concepts include aspects of database design, database languages, and
The distinction between data administration and database
The purpose and tasks associated with data administration
and database administration.
The scope of database security.
Why database security is a serious concern for an
The type of threats that can affect a database system.
How to protect a computer system using computer-based
This book introduces you to the theory of relational databases, focusing on the application of that theory to the design of computer languages that properly embrace it. The book is intended for those studying relational databases as part of a degree course in Information Technology (IT). Relational database
theory, originally proposed by Edgar F. Codd in 1969, is a topic in Computer Science. Codd’s seminal paper (1970) was entitled A Relational Model of Data for Large Shared Data Banks (reference  in Appendix B)....
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explicitly calculated sample complexity learning times under different input distribution assumptions (including CHILDES database language input) and learning regimes. We also briefly describe a new way to formally model (rapid) diachronic syntax change.
This chapter describes the process by which queries are executed efficiently by a database system. Query processing refers to the range of activities involved in extracting data from a database. The activities include translation of queries in high-level database languages into expressions that can be used at the physical level of the file system, a variety of query-optimizing transformations, and actual evaluation of queries.
Chapter 1 provides a general overview of the nature and purpose of database systems. This chapter explain how the concept of a database system has developed, what the common features of database systems are, what a database system does for the user, and how a database system interfaces with operating systems. This chapter also introduce an example database application: a banking enterprise consisting of multiple bank branches.
Chapter 2 presents the entity-relationship model. This model provides a high-level view of the issues in database design, and of the problems that we encounter in capturing the semantics of realistic applications within the constraints of a data model.
Chapter 3 focuses on the relational data model, covering the relevant relational algebra and relational calculus. This chapter presents the following content: Data definition, basic query structure, set operations, aggregate functions, null values, nested subqueries, complex queries, views, modification of the database.
Chapter 4 focuses on the most influential of the user-oriented relational languages: SQL. The main contents of this chapter include all of the following: SQL data types and schemas, integrity constraints, authorization, embedded SQL, dynamic SQL, functions and procedural constructs, recursive queries, advanced SQL features.
In this chapter we study two additional relational languages, QBE and Datalog. QBE, based on the domain relational calculus, forms the basis for query languages sup-ported by a large number of database systems designed for personal computers, such as Microsoft Access, FoxPro, etc.
In this chapter you will learn: Features of good relational design, atomic domains and first normal form, decomposition using functional dependencies, functional dependency theory, algorithms for functional dependencies, decomposition using multivalued dependencies, more normal form, databasedesign process, modeling temporal data.
The main contents of this chapter include all of the following: User interfaces and tools, web interfaces to databases, web fundamentals, servlets and JSP, building large web applications, triggers, authorization in SQL, application security.
The object-relational model, described in chapter 9, combines features of the re-lational and object-oriented models. This model provides the rich type system of object-oriented databases, combined with relations as the basis for storage of data. It applies inheritance to relations, not just to types. The object-relational data model provides a smooth migration path from relational databases, which is attractive to relational database vendors.
Chapter 10 describes the XML language, and then presents different ways of expressing queries on data represented in XML,and transforming XMLdata from one form to another. This chapter presents the following content: Structure of XML data, XML document schema, querying and transformation, application program interfaces to XML, storage of XML data, XML applications.
Chapter 11 probe below the higher levels as we describe various methods for implementing the data models and languages presented in preceding chapters. This chapter presents the following content: Overview of physical storage media, magnetic disks, raid, tertiary storage, storage access, file organization, organization of records in files, datadictionary storage.
This chapter covers indexing techniques ranging from the most basic one to highly specialized ones. Due to the extensive use of indices in database systems, this chapter constitutes an important part of a database course. A class that has already had a course on data-structures would likely be familiar with hashing and perhaps even B + -trees. However, this chapter is necessary reading even for those students since data structures courses typically cover indexing in main memory.
This chapter describes the process by which queries are executed efficiently by a database system. The chapter starts off with measures of cost, then proceeds to al-gorithms for evaluation of relational algebra operators and expressions.