2 General Information Professor: Leonid Libkin Contact: Lectures: Tuesday, 11:10am 1 pm, AT LT4 Website:
3 Course Information Use your UoE account Use DBS in the subject line Always sign using your name No attachments Never send me code via I will try to answer by the end of the next business day Academic offences: Don't!
4 Course information cont d 3 assignments + exam 1st assignment (5%) - pencil/paper, relational algebra/calculus, SQL 2nd assignment (15%) - use postgresql (available on dice machines). Extensive SQL programming exercise 3rd assignments (5%) - pencil/paper again, database design, query processing, basics of XML Exam - 75% CSC343 4
5 Textbook Recommended: Database Managament Systems, by R. Ramakrishnan, ( Edition and J. Gehrke, McGraw Hill, 2003 (3rd
6 The goal: You will learn: General principles of database systems that apply to all (certainly most) products you are likely to deal with. However, you will not learn system-specific issues
7 What will you learn in this course Database Design Methodology start from a general application description (in ( form verbal abstract and optimize the requirements (ER ( modeling map the requirements into entities that an RDBMS ( relations understands (extract database ( normalization ) optimize the relations
8 What will you learn in this course (cont'd) Use of an RDBMS write queries in a language that a DBMS ( SQL ) understands implement your application using a language you are familiar with, suitably enhanced with SQL statements with the help of the DBMS Basics of XML Schemas (DTDs), query languages (XPath, XQuery)
9 What you will not learn in this course System-specific issues what is it that I can do in PostgreSQL but not in DB2 or Oracle, and vice versa what level of query nesting is permitted in the latest version of Sybase the exact syntax of Oracle's connect by prior clause comparison with the with recursive clause in the SQL3 standard etc etc
10 Why learn about databases? It used to be about boring things: employee records, bank records, etc. Today, the field covers all aspects of working with data: Web search Data mining Scientific and medical databases Integrating information Databases are behind almost everything you do on the Web Google searches Queries at Amazon, ebay, etc. Trip planning (expedia etc)
11 What is Data Management? ( query Find data (search and Update or modify data Ensure data consistency Protect data ( control from unauthorized access (access ( recovery ) from failures from other programs or users (concurrency ( control
12 Finding data? Query: Find the average enrollment in database courses at UoE? How could we find this using a conventional search within file system? Do we get what we want? Why is this hard? How could we find this using a Database Management System (DBMS)?
13 What is a DBMS? Database: A large collection of data. Examples: databases of customers, products,... A database usually models (some part of) a realworld enterprise. ( courses Entities (e.g., students, ( DBS Relationships (e.g., John Doe is taking A Database Management System (DBMS) is a software package designed to store and manage databases. Many vendors: IBM, Sybase, Oracle, Microsoft, etc
14 Simplified database system environment
15 Typical DBMS Functionality Define a particular database in terms of its data types, structures, and constraints Construct or Load the initial database contents on a secondary storage device Manipulating the database: Retrieval: Querying, generating reports Modification: Insertions, deletions and updates to its content Accessing the database through Web applications Processing and Sharing by a set of concurrent users and application programs yet, keeping all data valid and consistent
16 Typical DBMS Functionality Other features: Protection or Security measures to prevent unauthorized access Presentation and Visualization of data Maintaining the database and associated programs over the lifetime of the database application
17 Why Use a DBMS? Self-describing nature of a database system: A DBMS catalog stores the description of a particular database (e.g. data structures, types, and ( constraints The description is called meta-data. Data independence You don t need to know the implementation of the database to access the data
18 Why use a DBMS - Data Independence Applications insulated from how data is structured and stored change the order of tuples add or modify other columns add or modify indexes Note that query does not change when physical structure changes One of the most important benefits of using a DBMS
19 Why Use a DBMS? Efficient access queries are optimized. Reduced application development time Queries can be expressed declaratively, we do not need to indicate how to execute them Data integrity and security Some constraints on the data are enforced automatically.
20 Why use a DBMS - Data Consistency Data Constraints: ( sid ) All students must have a student ID No two students can have the same sid ( uniqueness ) A student may only have one grade per course Etc.
21 Why Use a DBMS? Concurrent access, recovery from crashes Many users can access/update the database at the same time without any interference. Speed even when the data is huge, i.e. IRS: 150 TB (1 TB B) ( B Yahoo: 2 PB (1 PB National Energy Research Scientific Computing Center (USA): 3.5 PB
22 Why use a DBMS - Concurrency Control Concurrent execution of user programs is essential for good DBMS performance. Because disk accesses are frequent, and relatively slow Interleaving actions of different user programs can lead to inconsistency: A cheque is cleared while account balance is being computed. DBMS ensures that such problems do not arise: users can behave as if they were using a singleuser system.
23 Why use a DBMS - Data Abstraction Many views, single logical schema and physical schema. Views (external schemas) describe how users see the data. Logical schema defines logical structure. Physical schema describes the files and indexes used. View 1 View 2 View 3 Logical Schema Physical Schema
24 Example: University Database Conceptual schema: Student(sid: string, name: string, login: string, ( gpa:real age: integer, Course(cid: string, cname:string, credits:integer) ( grade:string Enrolled(sid:string, cid:string, describes data in terms of the data model of the DBMS Physical schema: Relations stored as unordered files. Index on first column of Students. External Schema (View): ( Course_info(cid:string,enrollment:integer
25 Describing Data: What is a Data Model? Mathematical representation of data relational model = tables; semistructured model = trees/graphs. AND Operations on data Constraints
26 Describing Data: Data Models A schema is a description of a particular collection of data, using a given data model. The relational model of data is the most widely used model today. Main concept: relation, basically a table with rows and columns. Every relation has a schema, which describes the columns, or fields.
27 Example Instance of Student Relation sid Name Login Age GPA Jones Smith Columns are attributes Rows are tuples
28 The SQL Query Language Find all students who are 20 years old SELECT * FROM Students WHERE age = 20 sid Name Login Age GPA Jones
29 Database Users Three groups: End users Database administrators Database developers This course prepares you to be end-users of DBMSs. But to be an intelligent end-user you need to know how a DBMS operates.
30 Historical Development of Database Technology Early Database Applications: The Hierarchical and Network Models were introduced in the mid 1960s and dominated during the 1970s. Relational Model based Systems: Relational model was originally introduced in 1969 (40th anniversary is celebrated this year!) by E.F. Codd at IBM. Relational DBMS Products emerged in the early 1980s.
31 Historical Development of Database ( cont'd ) Technology Object-oriented and emerging applications: Object-Oriented Database Management Systems (OODBMSs) were introduced in the late 1980s and early 1990s to cater to the need of complex data processing - but failed to take off. Many relational DBMSs have incorporated object database concepts, leading to a new category called ( ORDBMSs ) object-relational DBMSs Extended relational systems add further capabilities ( types (e.g. for multimedia data, XML, and other data
33 Extending Database Capabilities New functionality is being added to DBMSs in the following areas: Scientific Applications ( Language XML (extensible Markup Image Storage and Management Audio and Video Data Management Data Warehousing and Data Mining Spatial Data Management Time Series and Historical Data Management Interoperability, integrating data from different sources
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