Introduction
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This document outlines the chapters for a database systems course, including database concepts and architecture, data modeling using entity-relationship diagrams, the relational data model, SQL, database design and normalization, query processing and optimization, transaction processing, concurrency control, database security, and distributed database systems. It also defines key database terms like data, information, fields, records, rows and files.
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This document outlines the syllabus for a Database Management Systems course. It includes 5 units that cover database concepts, the relational model, SQL, normalization, transaction management, recovery, and query processing. The objectives are to understand basic database concepts, master SQL, understand relational design principles, and become familiar with transaction processing, storage structures, and query optimization techniques. Key topics include the entity-relationship model, relational algebra, normalization, concurrency control, crash recovery, and query processing and optimization.
DATABASE MANAGEMENT SYSTEMS university course materials useful for students ...
This document provides information about a database management systems (DBMS) course syllabus. It includes the course objectives, which are to understand basic database concepts, master SQL, understand relational database design principles, and become familiar with transaction processing and concurrency control. The syllabus outlines 5 units that will be covered: data models and languages, the relational model and SQL, normalization, transaction management and recovery, and query processing. Required textbooks and references are also listed.
CCS367-Storage-Technologies-Lecture-Notes-1.pdf
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D
The document introduces concepts and techniques in data mining. It discusses the motivation for data mining due to data explosion, defines data mining as the process of extracting useful patterns from large datasets, and outlines the typical steps in a knowledge discovery process including data cleaning, transformation, mining, and evaluation. It also describes different types of data mining functionality such as classification, association, and clustering.
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More from Mr Patrick NIYISHAKA
Summary
This document discusses vectors, force systems, and moments of force. It provides examples of torques, moments, and the cross product as they relate to force vectors. It also uses a skateboard and a hinged rectangular platform suspended by a cable as examples to illustrate moments of force and bending stresses. The document aims to explain vectors with force systems and resultants, and how moments are calculated as both scalar and vector formulations. It concludes with a problem asking the reader to find the moment about each coordinate axis of the force exerted by a cable suspending a hinged platform.
3 summary
This document introduces the topic of distributed database systems. It discusses distributed data independence and transaction atomicity. It provides a real-life example of a travel company using a distributed database with branches around the world. It then gives a quiz to test understanding of distributed database definitions, types, and functionality.
2 ddb architecture
This document discusses distributed database architecture. It describes the advantages as improved processing power through distributed processing across multiple machines, removal of single point of failure, and easier expandability. The disadvantages include increased complexity, costs, security challenges, and difficulties with integrity control and standardization. Different architectures are shared-nothing, shared-disk, and shared-memory. Distributed databases are well-suited for applications involving multiple sites like manufacturing, military systems, and airline reservations.
1 ddb
1. The document discusses types of distributed databases and distributed database architecture. It describes distributed databases as collections of shared data distributed over a computer network. Distributed databases can be either homogeneous, with all sites using the same DBMS, or heterogeneous, with different sites using different DBMSs. A distributed DBMS manages the distributed database and aims to make the distribution transparent to users.
2 countermeasures
This document discusses various countermeasures for database security including authorization, authentication, backups, journalizing, encryption, RAID technology, user-defined procedures, and checkpoints. It also discusses responses to different types of database failures such as aborted transactions, incorrect data, system failures with the database intact, and total database destruction. The preferred and alternative recovery approaches are outlined for each failure scenario.
2 countermeasures
This document discusses various countermeasures for database security including authorization, authentication, backups, journalizing, encryption, RAID technology, user-defined procedures, and checkpoints. It also discusses responses to different types of database failures such as aborted transactions, incorrect data, system failures with the database intact, and total database destruction. The preferred and alternative recovery approaches are outlined for each failure scenario.
3 summary
The document discusses database security and authorization. It covers threats to data security like human error and theft. Authentication verifies users' identities while authorization grants access privileges. Encryption encodes data for safe access. The document provides examples of improper authorization in schools and banks. It also includes a quiz on database security and authorization topics.
1 db security
Database security aims to protect data from accidental or intentional harm through threats like human error, software/hardware failures, theft, and improper access. These threats can result in losses of privacy, secrecy, confidentiality, data integrity, and availability. Countermeasures and responses to database failures help increase database security against various threats.
4 summary
This document covers transaction processing concepts including:
- Typical OLTP environments and how to recover from failures
- The ACID properties of transactions including atomicity, consistency, isolation, and durability
- Transaction states like active, aborted, and committed
- Transactions as concurrency units and how they execute concurrently while maintaining serializability
- Quizzes to test understanding of transaction processing, ACID properties, transaction states, and ensuring consistency through synchronization
3 summary
This document discusses concurrency control techniques for managing concurrent execution of transactions. It provides an example of how concurrency control is needed when multiple passengers try to purchase the last remaining airline ticket. The document then covers topics like transaction serialization, pessimistic and optimistic concurrency control, locking techniques, and two-phase locking. It concludes with sample multiple choice questions about problems with concurrent transactions, methods for serialization, locking data items, and definitions of deadlock and concurrency control.
2 con control
This document discusses concurrency control techniques for databases, including pessimistic and optimistic concurrency control. It describes locking techniques used for synchronization, including binary locks, certify locks, and two-phase locking to ensure serializability. It also discusses problems that can occur with locking such as deadlocks and starvation.
1 con exe
This document discusses concurrency control and methods to ensure serializability when transactions execute concurrently in a database. It begins by describing three problems that can occur with concurrent transaction execution: lost updates, unrepeatable reads, and dirty reads. It then explains two methods for achieving serializability: multi-version concurrency control and timestamp ordering. Timestamp ordering assigns timestamps to transactions and data items and uses the timestamps to determine when transactions can read and write data items to prevent conflicts. The document also briefly mentions using concurrency control protocols that employ locking to serialize transaction access.
1 basic concepts
This document discusses transaction processing in online transaction processing (OLTP) environments. It covers typical OLTP environments like airline, banking, and trading systems. It also covers topics like transactions being atomic units of execution that must have ACID (atomicity, consistency, isolation, durability) properties and can be in different states during processing. Transactions are sequences of database operations that must generate a consistent database when applied to a consistent one.
2 recovery
The document discusses database recovery from failures. It explains that a DBMS uses techniques like logging transactions, periodic backups, and mirroring databases to restore the system to a consistent state if a failure occurs. There are two types of recovery - from transaction failures, where the DBMS undoes uncommitted transactions, and from catastrophic failures like disk or system crashes, where the entire database must be restored from a backup and the log is used to replay committed transactions. Proper recovery is needed to ensure transactions are fully committed or have no effect, and that the database remains in a consistent state.
3 transaction
The document discusses the ACID properties that transactions should possess:
1. Atomicity - Transactions are atomic units that are fully completed or not completed at all.
2. Consistency - Transactions preserve consistency by ensuring the database only transitions between valid states.
3. Isolation - The execution of one transaction is isolated and not interfered with by other concurrent transactions.
4. Durability - Committed transaction changes persist in the database and survive failures through logging and recovery.
3 summary
The document discusses query processing and optimization techniques. It provides an example of querying a database to find the name of the last member to borrow a book with the title "Zeus". There are several ways to structure the query, but some methods are more optimized than others. Query processing involves translating SQL queries into relational algebra operations, generating execution plans, and executing the queries. Query optimization examines multiple query plans to identify the most efficient plan to retrieve the required data.
1 query processing
The document discusses the process of query processing, which includes translating SQL queries into relational algebra, generating an evaluation plan, and executing the query. It provides examples of translating a SQL query into relational algebra expressions and generating an annotated evaluation plan specifying the detailed strategy for evaluating the query.
1 query processing
The document discusses the process of query processing, which includes translating SQL queries into relational algebra, generating an evaluation plan, and executing the query. It provides examples of translating a SQL query into relational algebra expressions and generating an annotated evaluation plan specifying the detailed strategy for evaluating the query.
2 optimization
The document discusses query optimization techniques used by database systems. It describes how a database catalog is used to estimate query execution costs. Alternative execution plans are enumerated using heuristic rules and the lowest cost plan is selected. Examples are provided of applying translation rules to optimize a query tree by pushing down select and project operations, avoiding Cartesian products, and reordering joins and selections. Cost estimation considers factors like I/O, memory usage, and computation to select a suboptimal but efficient execution plan.
2 collision
This document discusses collisions, center of mass, and impulse and momentum. It provides information on inelastic 2D collisions and notes that analyzing collisions using impulse and momentum is useful when solving for collisions between two bodies. It also defines center of mass as the point where all the mass of an object or system can be considered concentrated.
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Introduction
- 1. CIT 3225: Database Systems Course Outlines Ch0: Introduction Ch1: Database System Concepts and architecture Ch2: Data modeling using the entity-relationship model Ch3: Relational data model concepts Ch4: Introduction to SQL Ch5: Database design concepts and Normalization Theory Ch6: Query processing and Optimization Techniques Ch7: Transaction Processing Concepts Ch8: Concurrency Control Techniques Ch9: Database Security and Authorization Ch10: Introduction to Distributed Database System
- 2. ◈ Database: Integrated collection of stored operational data used by the application systems of a particular enterprise. ★ Examples: Retail sector-department stores, Food outlets, Mass storage-weather records, Health industry - patient records, etc.
- 3. ◈ Data vs. Information ★Data: * Raw facts, concepts, characters, analog quantitie * A formalized manner suitable for communication or processing by humans. * Data items to supply some information about an entity. ★Information: Meaning that a human assigns to data by means of the known conventions used in their representation.
- 4. ◈ Data vs. Information Data Information
- 5. ◈ Field, Columns, Record, Row, File ★ ★