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Title: DBMS TECHNOLOGY AND APPLICATION


1
DBMS TECHNOLOGY AND APPLICATION
  • Zeng zhongping
  • Email zpzeng100_at_sohu.com
  • Course Web page http//www.hust.edu.cn

1
2
Why Study Databases??
?
  • Shift from computation to information
  • at the low end scramble to webspace (a mess!)
  • at the high end scientific applications
  • Datasets increasing in diversity and volume.
  • Digital libraries, interactive video, Human
    Genome project, EOS project
  • ... need for DBMS exploding
  • DBMS encompasses most of CS
  • OS, languages, theory, AI, multimedia, logic

3
Why Study DBMS?
  • We often use DBMS..
  • Banking all transactions
  • Airlines reservations, schedules
  • Universities registration, grades
  • Sales customers, products, purchases
  • Online retailers order tracking, customized
    recommendations
  • Manufacturing production, inventory, orders,
    supply chain
  • Human resources employee records, salaries, tax
    deductions
  • But DBMS just like a black box.
  • Try to open the black box
  • Database file system/pages/records/bytes/bits
  • Principles of DBMS and implement technologies
  • Learn more about DBMS

4
Benefits for
  • More opportunities in the job market
  • Career development
  • Computer skills

5
Text Books and References
  1. Raghu Ramakrishnan, Database Management Systems,
    McGraw Hill, 3rd edition, 2003 (text book).
  2. R. Elmasri, S.B. Navathe, Fundamentals of
    Database Systems, 4th edition, Addison-Wesley,
    2004.
  3. A. Silberschatz, H.F. Korth, S. Sudarshan,
    Database System Concepts, McGraw Hill, 4th
    edition, 2002.
  4. ???,?????????(???) ,???????,2000.??????
  5. ????????SQL Server?????--?????

5
6
  • ?????????????,?????????????????????
  • ?????????????????,??????????
  • ???????????????????Oracle?Microsoft SQL
    Server?IBM DB2????
  • ?????????????????? (??)?

7
  • 1950,????????????????????,?????
  • 83?,??????
  • ?????
  • ????
  • ??????
  • ??????

8
Course Outline
  • Introduction to Database Management Systems
  • Entity-Relationship Model
  • The Relational Data Model
  • Relational Algebra
  • SQL
  • Relational Database Design Normalization
  • MS SQL server

8
9
Grading
  • Assignments 10
  • Experiments 40
  • Final Exam 60

9
10
How to learn well?
  • ????
  • ????
  • ????

11
Introduction to DBMS
What Is a DBMS?
Functions of DBMS?
Why Use DBMS?
What About DBMS History?
DBMS Architecture?
12
What Is a DBMS?
  • Data (??)
  • Database (???)
  • DBMS (???????)
  • DBS(?????)

13
Data
  • The representative forms of information,
    including facts, concepts, rules, or any other
    kind of knowledge.
  • numbers, characters, images or other methods of
    recording.
  • represent values that can be stored, processed,
    and transmitted by electronic systems,especially
    the computer.

14
Data instance
  • ??????????
  • (??,?,1972,??,????,1990)
  • ?????
  • ???????????????????????????
  • ?????????,1972???,???,1990???????
  • ??????????????

15
Database
A very large, integrated collection of data
stored in the computer.
  • Low reductdance
  • Share ability
  • Data independence
  • Integrity management and control

16
Database Management System (DBMS)
  • A very large, integrated collection of data
    stored in the computer
  • Models real-world enterprise.
  • Entities (e.g., students, courses)
  • Relationships (e.g., Tarkan is taking CENG302)
  • A Database Management System (DBMS) is a software
    package designed to store and manage databases.

17
Database management system examples
  • Oracle
  • SQL server
  • Sybase
  • Mysql
  • DB2
  • INFORMIX
  • VFP

18
DBMS FUNCTION
  • Data Definition
  • DDL,Data Definition Language
  • Data Manipulation
  • DML,Data Manipulation Language
  • Operation Management
  • Setup and Maintain

19
DBMS FUNCTION(continue)
  • Provide User Interface
  • Provide Data Manipulation Language
  • Provide Data Definition Language
  • Provide some tools
  • Manage database
  • Maintain database

20
Development tool kits/language
  • C,VC,C
  • VB
  • POWERBUILDER
  • DELPHI
  • JAVA
  • ASP/JSP
  • ODBC/JDBC
  • Database language (DDL,DML)

21
Open Database Connect
  • ???????(ODBC)?MICROSOFT?????????????
  • ????????????????API????,??API????????DBMS,????????
    ????

PB
JAVA
C
VB
ODBC API
ODBC ??
Oracle
Sql server
sybase
access
22
Java Database Connect(JDBC)
Java?????,(Java Database Connectivity,??JDBC)?Java
???????????????????????????,????????????????????JD
BC??Sun Microsystems?????JDBC???????????
23
??
24
Database Management System (DBMS)
  • DBMS contains information about a particular
    enterprise
  • Collection of interrelated data -- Database
  • Set of programs to access the data
  • An environment that is both convenient and
    efficient to use
  • Database applications
  • Banking all transactions
  • Airlines reservations, schedules
  • Universities registration, grades
  • Sales customers, products, purchases
  • Online retailers order tracking, customized
    recommendations
  • Manufacturing production, inventory, orders,
    supply chain
  • Human resources employee records, salaries, tax
    deductions
  • Databases touch all aspects of our lives

25
Database System (DBS)
  • Database
  • Operation system
  • DBMS
  • Application system
  • DBA
  • Users

????????????????????????(??????)????????????(DBA)?
?????
26
Database system
??
??
??
USER
USER
USER
Development Tools kits
Application
????
????
DBMS
DBA
OS
??????
DB
27
Database system Architecture
  • The architecture of a database systems is
    greatly influenced by the underlying computer
    system on which the database is running
  • Centralized
  • Client-server
  • Parallel (multi-processor)
  • Distributed
  • Browser/Server

28
  • Centralized(?????)
  • DBMS????????????????????????????????,???????
    ?????????????????????????????????????DBMS?????????
    ?????????????????,DBMS???????????????????????????,
    ?????????
  • ???????????????????,???????????????????????
    ?????????????????????????,??????????
  • PC(???????)
  • ???????,???????(??)??DBMS????????????????????
    ??,??DBMS(?FoxPro?Acssce)?????,??????,?????,???DBM
    S????????????????????????

29
Client-server(??/?????)
  • ???/???(???C/S)?????????,??????????????????????,?
    ????????????????????,????????DBMS??????
  • ?????,????????????????,?????????????,?????????????
    ????,???????

30
Distributed(?????)
  • ???????????????????,??????????,?????????????
    ????????????????/????????????,????????????????????
    ???????????????????

31
Distributed system
32
Browser/Server(???/?????)
  • ??Internet?????,????????/??????????????????????
    ?????????/???(Browser/Server,???B/S)???

33
Why We Need a DBMS?
  • the increasing of the great number of information
    resources
  • KB,MB,GB,TB,PB,EB,ZB,YB.....
  • Traditional data management technology can not
    meet the increasing needs
  • Massive benefits through data analysis and
    processing
  • Weather forecast
  • airspace
  • Bank and stocks market
  • DBMS is the best way to solve the above questions

34
Why Use a DBMS?
  • Data independence and efficient access.
  • (??????????)
  • Reduced application development time.
  • (??????????)
  • Data integrity and security.
  • (?????????)
  • Uniform data administration.
  • (???????)
  • Concurrent access, recovery from crashes.
  • (?????????)

35
Data management history
  • Data management
  • the control of data handling operations--such as
    acquisition, analysis, translation, coding,
    storage, retrieval, and distribution of data
  • Development
  • Manual management (1940smid 1950s)
  • File system management (1950smid 1960s)
  • Database management (1960s --)

36
Manual management
  • 1940s -1950s
  • Focus on
  • scientific computing
  • Hardware
  • no direct access storage device
  • Software system
  • no operation system
  • Data processing
  • batch processing

37
File management
  • 1950s and early 1960s
  • Data processing using magnetic tapes for storage
  • Tapes provide only sequential access
  • Punched cards for input
  • 1960s File system(In the early days, database
    applications were built directly on top of file
    systems)
  • Demand
  • scientific management
  • Hardware
  • disk?disk drum
  • Software
  • file system
  • Processing
  • OLAP?batch processing

38
Drawbacks of using file systems
  • Drawbacks of using file systems to store data
  • Data redundancy and inconsistency
  • Multiple file formats, duplication of information
    in different files
  • Difficulty in accessing data
  • Need to write a new program to carry out each new
    task
  • Data isolation multiple files and formats
  • Integrity problems
  • Integrity constraints (e.g. account balance gt 0)
    become buried in program code rather than being
    stated explicitly
  • Hard to add new constraints or change existing
    ones

39
Drawbacks of using file systems(Cont.)
  • Atomicity of updates
  • Failures may leave database in an inconsistent
    state with partial updates carried out
  • Example Transfer of funds from one account to
    another should either complete or not happen at
    all
  • Concurrent access by multiple users
  • Concurrent accessed needed for performance
  • Uncontrolled concurrent accesses can lead to
    inconsistencies
  • Example Two people reading a balance and
    updating it at the same time
  • Security problems
  • Hard to provide user access to some, but not all,
    data
  • Database systems offer solutions to all the above
    problems

40
History of Database Systems
  • Late 1960s and 1970s
  • Hard disks allow direct access to data
  • Network and hierarchical data models in
    widespread use
  • Ted Codd defines the relational data model
  • Would win the ACM Turing Award for this work
  • IBM Research begins System R prototype
  • UC Berkeley begins Ingres prototype
  • High-performance (for the era) transaction
    processing

41
History (cont.)
  • 1980s
  • Research relational prototypes evolve into
    commercial systems
  • SQL becomes industrial standard
  • Parallel and distributed database systems
  • Object-oriented database systems
  • 1990s
  • Large decision support and data-mining
    applications
  • Large multi-terabyte data warehouses
  • Emergence of Web commerce
  • 2000s
  • XML and XQuery standards
  • Automated database administration

42
Database - Advantages
  • Reduced data redundancy(??)
  • Reduced updating errors and increased
    consistency(???)
  • Greater data integrity and independence from
    applications programs (???????)
  • Improved data access to users through use of host
    and query languages (????)
  • Improved data security(????)
  • Reduced data entry, storage, and retrieval
    costs(????????)
  • Facilitated development of new applications
    program(??????????

43
Summary
  • DBMS - how come today
  • Demand driven by application requirements
  • Software development
  • Hardware development

44
Assignment
  • 1??????????????????????????
  • 2????????????
  • 3????????????????????
  • 4??????????????????
  • 5????????????
  • 6???????????,???????????????????

45
???????????
46
shift from the real world to Concept schema
???????????????????????????
  • ?????????---????
  • ?????????????????
  • ??????????DBMS????????
  • ??????????????????????

47
DBMS- schema and data model
shift from the real world to digital world
48
Concept schema
  • ???????
  • ?????????????
  • ?????????????????
  • ???????????
  • ???????????????????
  • ??????????
  • ?????????,????????????????????
  • ?????????????

49
flexibility
redundant and inconsistent
multiple databases
50
Schemas
  • External schema for user views
  • defines the view of the data presented to the
    application programs
  • Conceptual schema integrates external schemata
  • the logical structure of the database
  • The primary objective of this conceptual schema
    is to provide a consistent definition of the
    meanings and interrelationship of data which can
    be used to integrate, share, and manage the
    integrity of data.
  • Internal schema that defines physical storage
    structures
  • describes the internal formats of the data stored
    in the database

51
Advantage of Three Schemas
layered architecture
52
View of Data
An architecture for a database system
53
Data Independence
  • Applications insulated from how data is
    structured and stored.
  • Logical data independence Protection from
    changes in logical structure of data.
  • Physical data independence Protection from
    changes in physical structure of data.
  • One of the most important benefits of using a
    DBMS!

54
Levels of Abstraction
  • Many external schemata, single conceptual(logical)
    schema and physical schema.
  • External schemata describe how users see the
    data.
  • Conceptual schema defines logical structure
  • Physical schema describes the files and indexes
    used.

External Schema 1
External Schema 3
External Schema 2
Conceptual Schema
Physical Schema
  • Schemas are defined using DDL data is
    modified/queried using DML.

55
Levels of Abstraction
  • A major purpose of a database system is to
    provide users with an abstract view of the data.
    The system hides certain details of how the data
    are stored and maintained.
  • Physical level describes how a record (e.g.,
    customer) is stored.
  • Logical level describes what data are stored in
    database, and the relationships among the data.
  • type customer record
  • customer_id string customer_name
    string customer_street string customer_city
    integer
  • end
  • View level application programs hide details of
    data types. Views can also hide information
    (such as an employees salary) for security
    purposes.

56
Instances and Schemas
  • Similar to types and variables in programming
    languages
  • Schema the logical structure of the database
  • Example The database consists of information
    about a set of customers and accounts and the
    relationship between them
  • Analogous to type information of a variable in a
    program
  • Physical schema database design at the physical
    level
  • Logical schema database design at the logical
    level
  • Instance the actual content of the database at
    a particular point in time
  • Analogous to the value of a variable
  • Physical Data Independence the ability to
    modify the physical schema without changing the
    logical schema
  • Applications depend on the logical schema
  • In general, the interfaces between the various
    levels and components should be well defined so
    that changes in some parts do not seriously
    influence others.

57
Structure of a DBMS
These layers must consider concurrency control
and recovery
  • A typical DBMS has a layered architecture.
  • This is one of several possible architectures
    each system has its own variations.

58
Structure of a DBMS
59
How data is organized in the database?
Data Models
60
Data Models
  • A data model is a collection of concepts for
    describing data.
  • A schema is a description of a particular
    collection of data, using the given data model.
  • requirement
  • ????????????
  • ???????
  • ?????????
  • 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.

61
Data Models Type
  • Entity-Relationship data model (mainly for
    database design)
  • Relational model
  • Object-based data models (Object-oriented and
    Object-relational)
  • Semistructured data model (XML)
  • Other older models
  • Network model
  • Hierarchical model

62
Summary
  • Concept model
  • External schema
  • Concept schema
  • Internal schema
  • Data model
  • Relational model

63
Concept schema
  • ???????
  • ?????????????
  • ?????????????????
  • ???????????
  • ???????????????????
  • ??????????
  • ?????????,????????????????????
  • ?????????????

64
definitions
  • ??(Entity)
  • thing or object
  • ??(Attribute)
  • Property of (the entities of) an entity set.
  • Attributes are simple values, e.g. integers or
    character strings.
  • ???(Entity Type)
  • a class of entities with the same attributes
  • ???(Entity Set)
  • ????????????

65
Example
  • Entity set Beers has two attributes, name and
    manf (manufacturer).
  • Each Beers entity has values for these two
    attributes, e.g. (Bud, Anheuser-Busch)

66
definitions(conti.)
  • ?(Key)
  • ??????????????
  • ?(Domain)
  • ???????????????

67
definitions(conti.)
  • ??(Relationship)
  • an association between two or more entities that
    is of particular interest
  • ???????????????????????????????????????????
  • ??????
  • ????? ?????(11)
  • ????? ?????(1n)
  • ????? ?????(mn)

68
?????????
  • ?????
  • ???????A???????,???B????????????,????,?????A????B?
    ?????????11?
  • ??
  • ??????????
  • ???????????
  • ????????????

69
????????? (?)
  • ?????
  • ???????A???????,???B??n???(n0)????,??,?????B?????
    ??,???A?????????????,?????A????B??????
  • ??1n
  • ??
  • ??????????
  • ???????????,
  • ?????????????

70
????????? (?)
  • ?????(mn)
  • ???????A???????,???B??n???(n0)????,??,?????B?????
    ??,???A???m???(m0)????,?????A???B??????????mn
  • ??
  • ??????????
  • ??????????????
  • ??????????????

71
?????????(?)
  • ????????????
  • ????E1,E2,...,En????,?????Ej(j1,2,...,i-1,i1,...
    ,n)??????,????Ei?????????,????Ei?E1,E2,...,Ei-1,Ei
    1,...,En???????????

72
?????????(?)
  • ??
  • ??????????????
  • ????????????????,????
  • ????,????????????,???
  • ???????????
  • ???????????????????
  • ????????????
  • ????????????

73
Degrees of relationship
One-to-one (11)
  • Woman
  • Man

One-to-many (1n)
  • Order
  • Customer

Many-to-many (nm)
  • Subject
  • Course

NOTE Every many to many relationship consists of
two one to many relationships
working in opposite directions
74
?????????
  • ???????????
  • ??-????(E-R??)
  • ?E-R?????????????
  • E-R?????E-R??

75
Why use ER Diagrams ?
  • provides a global quick reference to an
    organizations data structures.
  • can be used individually to design an Information
    Systems (IS) data structure
  • can be used with Data Flow Diagrams to provide a
    more comprehensive IS logical design.

76
ERD Development Process
  • Identify the entities
  • Determine the attributes for each entity
  • Select the primary key for each entity
  • Establish the relationships between the entities
  • Draw an entity model
  • Test the relationships and the keys

77
Identify the entities
  • ???
  • ?????,??????????
  • Entity set rectangle.

??
??
78
Determine the attributes for each entity
  • ??
  • ??????,?????????????????
  • Attribute oval, with a line to the rectangle
    representing its entity set.

79
Key Attributes
  • Certain attributes identify particular facts
    within an entity, these are known as KEY
    attributes.
  • The different types of KEY attribute are
  • Primary Key
  • Composite Primary Key
  • Foreign Key

80
Key Definitions
  • Primary Key
  • One attribute whose value can uniquely identify a
    complete record (one row of data) within an
    entity.
  • Composite Primary Key
  • A primary key that consists of two or more
    attribute within an entity.
  • Foreign Key
  • A copy of a primary key that exists in another
    entity for the purpose of forming a relationship
    between the entities involved.

81
Establish the relationships between the entities
  • A relationship connects two or more entity sets.
  • It is represented by a diamond, with lines to
    each of the entity sets involved.

82
E-R?(?)
  • ??
  • ?????????,?????????,????????????????,????????????
    ??(11?1n?mn)
  • ????????????????,?????????????????,??????????????
    ?????

83
???????
84
???????(?)
85
?????????
86
?????????(?)
87
?????????
88
ERD Development for a Beer Bar?
89
Example
90
ERD Development for a library?
91
?????????????
  • ?????
  • ??
  • ??????????????????
  • ????(??)???????
  • ????????????????
  • ????????
  • ?????
  • ?????

92
Data Models
  • A collection of tools for describing
  • Data
  • Data relationships
  • Data semantics
  • Data constraints

93
Data Models Type
  • Relational model
  • Entity-Relationship data model (mainly for
    database design)
  • Object-based data models (Object-oriented and
    Object-relational)
  • Semi-structured data model (XML)
  • Other older models
  • Network model
  • Hierarchical model

94
Relational Model
  • A relational database is based on the relational
    model and uses a collection of tables to
    represent both data and relationships among those
    data.
  • Example of tabular data in the relational model

Attributes
95
Instance of Students Relation
  • Students( sid string, name string, login
    string,
  • age integer, gpa real )
  • sid name login age gpa
  • 53666 Jones jones_at_cs 18 3.4
  • 53688 Smith smith_at_ee 18 3.2
  • 53650 Smith smith_at_math 19 3.8

96
A Sample Relational Database
97
Example University Database
  • Conceptual schema
  • Students(sid string, name string, login
    string,
  • age integer, gpareal)
  • Courses(cid string, cnamestring,
    creditsinteger)
  • Enrolled(sidstring, cidstring, gradestring)
  • Physical schema
  • Relations stored as unordered files.
  • Index on first column of Students.
  • External Schema (View)
  • Course_info(cidstring,enrollmentinteger)

98
Data Manipulation Language (DML)
  • Language for accessing and manipulating the data
    organized by the appropriate data model. DML also
    known as query language
  • Retrieval of information stored in the database
  • Insertion of new information into the databse
  • Deletion of information from the database
  • Modification of information stored in the
    database
  • Two classes of languages
  • Procedural user specifies what data is required
    and how to get those data
  • Declarative (nonprocedural) user specifies what
    data is required without specifying how to get
    those data
  • SQL is the most widely used query language

99
Data Definition Language (DDL)
  • Specification notation for defining the database
    schema
  • Example create table account (
    account-number char(10),
    balance
    integer)
  • DDL compiler generates a set of tables stored in
    a data dictionary
  • Data dictionary contains metadata(???) (i.e.,
    data about data)
  • Database schema
  • Data storage and definition language
  • Specifies the storage structure and access
    methods used
  • Integrity constraints
  • Domain constraints
  • Referential integrity (references constraint in
    SQL)
  • Assertions
  • Authorization

100
SQL
  • SQL widely used non-procedural language
  • Example Find the name of the customer with
    customer_id 192-83-7465 select customer.customer_
    name from customer where customer.customer_id
    192-83-7465
  • Example Find the balances of all accounts held
    by the customer with customer_id
    192-83-7465 select account.balance from
    depositor, account where depositor.customer_id
    192-83-7465 and depositor.account_number
    account.account_number
  • Application programs generally access databases
    through one of
  • Language extensions to allow embedded SQL
  • Application program interface (API) (e.g.,
    ODBC/JDBC) which allow SQL queries to be sent to
    a database

101
Database Design
  • The process of designing the general structure of
    the database
  • Logical Design Deciding on the database
    schema. Database design requires that we find a
    good collection of relation schemas.
  • Business decision What attributes should we
    record in the database?
  • Computer Science decision What relation
    schemas should we have and how should the
    attributes be distributed among the various
    relation schemas?
  • Physical Design Deciding on the physical layout
    of the database

102
The Entity-Relationship Model
  • Models an enterprise as a collection of entities
    and relationships
  • Entity a thing or object in the enterprise
    that is distinguishable from other objects
  • Described by a set of attributes
  • Relationship an association among several
    entities
  • Represented diagrammatically by an
    entity-relationship diagram

103
Object-Relational Data Models
  • Extend the relational data model by including
    object orientation and constructs to deal with
    added data types.
  • Allow attributes of tuples to have complex types,
    including non-atomic values such as nested
    relations.
  • Preserve relational foundations, in particular
    the declarative access to data, while extending
    modeling power.
  • Provide upward compatibility with existing
    relational languages.

104
XML Extensible Markup Language
  • Defined by the WWW Consortium (W3C)
  • Originally intended as a document markup language
    not a database language
  • The ability to specify new tags, and to create
    nested tag structures made XML a great way to
    exchange data, not just documents
  • XML has become the basis for all new generation
    data interchange formats.
  • A wide variety of tools is available for parsing,
    browsing and querying XML documents/data

105
Storage Management
  • Storage manager is a program module that provides
    the interface between the low-level data stored
    in the database and the application programs and
    queries submitted to the system.
  • The storage manager is responsible to the
    following tasks
  • Interaction with the file manager
  • Efficient storing, retrieving and updating of
    data
  • Issues
  • Storage access
  • File organization
  • Indexing and hashing

106
Query Processing
  • 1. Parsing and translation
  • 2. Optimization
  • 3. Evaluation

107
Query Processing (Cont.)
  • Alternative ways of evaluating a given query
  • Equivalent expressions
  • Different algorithms for each operation
  • Cost difference between a good and a bad way of
    evaluating a query can be enormous
  • Need to estimate the cost of operations
  • Depends critically on statistical information
    about relations which the database must maintain
  • Need to estimate statistics for intermediate
    results to compute cost of complex expressions

108
Transaction Management
  • A transaction is a collection of operations that
    performs a single logical function in a database
    application
  • Transaction-management component ensures that the
    database remains in a consistent (correct) state
    despite system failures (e.g., power failures and
    operating system crashes) and transaction
    failures.
  • Concurrency-control manager controls the
    interaction among the concurrent transactions, to
    ensure the consistency of the database.

109
Database Users
  • Users are differentiated by the way
    they expect to interact with the system
  • Application programmers interact with system
    through DML calls
  • Sophisticated users form requests in a database
    query language
  • Specialized users write specialized database
    applications that do not fit into the traditional
    data processing framework
  • Naive users invoke one of the permanent
    application programs that have been written
    previously
  • Examples, people accessing database over the web,
    bank tellers, clerical staff

110
Database Administrator
  • Coordinates all the activities of the database
    system the database administrator has a good
    understanding of the enterprises information
    resources and needs.
  • Database administrator's duties include
  • Schema definition
  • Storage structure and access method definition
  • Schema and physical organization modification
  • Granting user authority to access the database
  • Specifying integrity constraints
  • Acting as liaison with users
  • Monitoring performance and responding to changes
    in requirements

111
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112
Overall System Structure
113
Homework
  • Data definition language
  • Data Manipulation Language (DML)
  • Database administrator role

114
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  • Relational database
  • Sql language
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