Database language

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  • 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.

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  • 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.

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  • 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.

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  • 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 database-system implementation.

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  • The distinction between data administration and database administration. 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 organization. The type of threats that can affect a database system. How to protect a computer system using computer-based controls

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  • 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 [5] in Appendix B)....

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  • 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.

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  • 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.

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  • 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.

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  • 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.

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  • 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.

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  • 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.

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  • 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.

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  • 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.

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  • This chapter describes how to control concurrent execution in a database, in order to ensure the isolation properties of transactions. A variety of protocols are described for this purpose. This chapter presents the following content: Lock­based protocols, timestamp­based protocols, validation­based protocols, multiple granularity,...

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  • This chapter covers failure models and a variety of failure recovery techniques. Re-covery in a real-life database systems supporting concurrent transactions is rather complicated. To help the student understand concepts better, the chapter presents re-covery models in increasing degree of complexity. The chapter starts with a simple model for recovery, ignoring the issue of concurrency. Later, the model is extended to handle concurrent transactions with strict two-phase locking.

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  • Data analysis and data mining are a subset of business intelligence, which also incorporates data warehousing, database management systems, and Online Analytical Processing. In this chapter introduce data analysis and mining with the following contents: Decision support systems, data analysis and olap, data warehousing, data mining.

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  • The chapter is suitable for an introductory course. We recommend covering it, at least as self-study material, since students are quite likely to use the non-centralized (particularly client-server) database architectures when they enter the real world. The material in this chapter could potentially be supplemented by the two-phase commit protocol, to give students an overview of the most important details of non-centralized database architectures.

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  • This chapter is suitable for an advanced course, but can also be used for independent studyprojectsbystudentsofa first course. The chapter covers several aspects of the design of parallel database systems partitioning of data, parallelization of individual relational operations, and parallelization of relational expressions. The chapter also briefly covers some systems issues, such as cache coherency and failure resiliency.

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  • Distributed databases in general, and heterogeneous distributed databases in particular, are of increasing practical importance, as organizations attempt to integrate databases across physical and organizational boundaries. Such interconnection of databases to create a distributed or multidatabase is in fact proving crucial to competitiveness for many companies. This chapter reconsiders the issues addressed earlier in the text, such as query processing, recovery and concurrency control, from the standpoint of distributed databases.

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