Lecture Database management systems

After completing this chapter, students will be able to: Become familiar with several object-persistence formats, be able to map problem domain objects to different object-persistence formats, be able to apply the steps of normalization to a relational database, be able to optimize a relational database for object storage and access,...

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Chapter 1 provides a general overview of the nature and purpose of database systems. We 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.

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Chapter 1: Introduction. Chapter 1 provides a general overview of the nature and purpose of database systems. We 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.

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Chapter 19 - Distributed databases. Chapter 19 covers distributed database systems, revisiting the issues of database design, transaction management, and query evaluation and optimization, in the context of distributed databases. The chapter also covers issues of system availability during failures, heterogeneous distributed databases, cloud-based databases, and distributed directory systems.

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Chapter 20 - Data analysis. 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 with the following contents: Decision support systems, data warehousing, data mining, classification, association rules, clustering.

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The smart academic calendar management system consists of: 1) Developing a cloud computing software which used to monitor and manage both of student's academic calendar and lecturer's teaching time based on fingerprint's student at in/out time of the class; 2) Designing a database used to store collected student's fingerprint data from fingerprint scanners, which allows students, parents, lecturers, managers can access via internet browser.

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Information retrieval techniques: Lecture 45. The main topics covered in this chapter include: final notes on information retrieval; topics that we covered; database management research; types of queries and data handling; classification/clustering; recommender systems;... Please refer to the content of document.

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Software design - Lecture 7. The main topics covered in this chapter include: tree-structures; possible solution - subsystem based; possible solution - layer based; another definition of information hiding; module's interface specification; database management system;...

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Distributed Database Management Systems: Lecture 21. The main topics covered in this chapter include: types of fragmentation with horizontal fragmentation, vertical fragmentation; storing a separate copy of database at each of two or three or more sites;...

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Distributed Database Management Systems: Lecture 17. The main topics covered in this chapter include: continue with VF to information requirement; attribute affinities; replication of Key attributes does not violate the disjoint ness condition;...

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Distributed Database Management Systems: Lecture 19. The main topics covered in this chapter include: continue with VF to example of VF; partitioning in CA; allocation problem; compute the contribution by placing 3rd attribute at different places in CA;...

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Distributed Database Management Systems: Lecture 20. The main topics covered in this chapter include: continue with VF to hybrid fragmentation; allocation problem; replication; VF correctness; primary and derived horizontal fragmentation;...

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Distributed Database Management Systems: Lecture 22. The main topics covered in this chapter include: setting up replication; install multiple instances of SQL Server on your computer; this simple setup will work with Windows XP and Personal Edition of SQL Server;...

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Distributed Database Management Systems: Lecture 16. The main topics covered in this chapter include: the inputs required for DHF; the set of partitions for owner; member relation; semi-join predicates between owner and member;...

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Distributed Database Management Systems: Lecture 18. The main topics covered in this chapter include: continue with VF to global affinity measure; bond energy algorithm; find the combination that has the maximum Affinity Measure;...

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Distributed Database Management Systems: Lecture 23. The main topics covered in this chapter include: created the agents (Snapshot agent and Distributor agent); also the subscription database at the subscriber server (PESH in our case); agents are created, not worked yet, so no snapshot created at the subscriber;...

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Distributed Database Management Systems: Lecture 24. The main topics covered in this chapter include: fragmentation; design phase and have got the predicates to be used as basis for PHF; name our fragments/local tables as custQTA, custPESH;...

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Distributed Database Management Systems: Lecture 25. The main topics covered in this chapter include: derived horizontal fragmentation; fragmenting/partitioning a table based on the constraints defined on another table; linked with each other through Owner-Member relation;...

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Distributed Database Management Systems: Lecture 27. The main topics covered in this chapter include: ACID properties; types of transaction; transaction in DDBS; isolation and consistency are interrelated, one supports other; degree 3 provides full isolation;...

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Distributed Database Management Systems: Lecture 26. The main topics covered in this chapter include: transaction management with basics and properties of transaction; database consistency; a transaction is a logical unit of work; consistent transaction;...

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