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Database concept

Begué Ivan Inglés 38 fichas

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  1. 1five of the disadvantages of a file processing system1.Data integrity issues
    2.Security Issues
    3.Difficult in data accessing
    4.Data inconsistency
    5.Data redundancy
  2. 2What do you understand by a database application.Database application is a software program designed to collect, manage and disseminate
    information efficiently.
  3. 3What is Data?Data consist of unprocessed raw facts
  4. 4what is DatabaseA database is an organized collection of structure information, or data ,
    typically stored electronically in a computer system.
  5. 5Database Management System(DBMS)Database Management System is a
    software for storing, retrieving and updating users data while considering appropriate
    security measures.
  6. 6Information-The processed data is called information. Information is an organized and
    processed form of data. It is more meaningful than data and is used for decision making.
  7. 7MetadataIt is a set of data that describes and gives information about the data.
  8. 8What is DDLData Definition Language is a subset of SQL. It is a language for describing data and its
    relationships in a database. The language allows tables to be defined in terms of field
    names, data type, data size/length, validation rules, default values, presence check, auto
    incrementing requirement, indexing requirement and primary key.
  9. 9What is DMLDML stands for Data Manipulation Language which is used to manipulate data. SELECT is
    a command used to retrieve rows from a table. The syntax is SELECT [column name(s)]
    from [table name] where [conditions].
  10. 10Describe the three parts of the Relational Model.1.The set of relations and set of domains that defines that way data can be
    represented (data structure).
    2.Integrity rules that define the procedure to protect the data (data integrity)
    3.The operations that can be performed on data (data manipulation)
  11. 11What is AttributeAn attribute refers to a database component such as a table or database
    field.
  12. 12What is a TupleA turple is simply a row contained in a table.
  13. 13What is Degree of a relationthe number of an entity type that is connected to a relationship is
    the degree of that relationship.
  14. 14What is Cardinality of a relationThe cardinality of a relationship is the number of related rows
    for each of the two objects in the relationship.
  15. 15What is EntityA single unique object in the real world that is being mastered.
  16. 16What is strong entityStrong entity set is the entity in which there exists a primary key. For example, an entity
    set of cars having attributes such as a car's registration number, car's color, car's name is
    a strong entity since no two cars can have the same registration number. So, the attributes
    registration number can be considered as the primary key, and hence the entity set is a
    strong entity set.
  17. 17What is Weak entityWeak entity is an entity set that does not have a primary key. For example, an entity set of
    cars having attributes such as a car's color, a car's name is a weak entity since two cars
    can have the same color as well as the same name. So, none of the attributes can be
    considered as the primary key and hence the entity set is a weak entity set.
  18. 18What is Associative EntityAn associative entity represents an association between two fundamental entities that has
    a potential many-to-many cardinality or that holds some attributes. It can be the birth
    place, or it can be more generic, representing commonalities between a number of
    concrete associative entities, such as the root parents.
  19. 19What are the 5 types of attributes?1.Single attribute
    2.Multi-valued attribute
    3.Composite attribute
    4.Derived attribute
    5.Complex attribute
  20. 20what is single attribute ?The single-value attribute can has only one value for a given entity. For example;
    the attribute car_model is a single-valued attribute as one car can has only one
    model.
  21. 21what is Multi-valued attributeThe attribute which takes up more than a single value for each entity instance is a multi-valued attribute.
    Example: Phone number of a student: Landline and mobile.
  22. 22What is Composite attribute ?It is an attribute that can be split into different components. For example; the address can be
    split into house number, street number, city, state, or country.
  23. 23What is Derive attributeAn attribute that can be derived from other attributes is derived attributes. For
    example: Total and average marks of a student.
  24. 24What is complex attribute ?complex Attribute is a type of attribute in database. It is formed by nesting composite attributes and multi-valued attributes in arbitrary way.
    For e.g;
    A person can have many phone numbers,many e-mail addresses,home addresses
  25. 25what you understand by cardinality constraintCardinality constraint defines the maximum number of relationship instances in which an
    entity can participate. The different cardinalities are :mandatory one mandatory
    many,optional one and optional many
  26. 26Primary keyIt uniquely identifies each table record. For example; studentid
  27. 27Natural primary keyIt is a set of columns that already exist in the table and uniquely identifies a record
    in the table.
  28. 28Candidate keyIt is a set of attributes that uniquely identify tuples in a table. For example; in a table
    called student record, an email is a candidate keys, as it help us to uniquely identify
    the student record in the table.
  29. 29Surrogate keySurrogate key is an artificial key which aims to uniquely identify record. A surrogate
    key in DBMS is usually an integer. For example: shown shift timings of the different
    employee in a record EMPLOYEE is an example of surrogate key.
  30. 30Foreign keyA foreign key is a column that creates a relationship between two tables. It acts as a
    cross-reference between two tables as it references the primary key of another
    table.
  31. 31Composite KeyIt is is a combination of two or more columns that uniquely identify rows in a table.
    The combination of columns guarantees uniqueness, though individual uniqueness is
    not guaranteed.
  32. 32Explain the concept of integrity in a database.Data integrity refers to the overall accuracy, completeness, and reliability of data. It can be
    specified by the lack of variation between two instances or consecutive updates of a
    record, indicating that your information is error-free. It also corresponds to the security and
    integrity controls and methods of regulatory compliance.
  33. 33Domain integrityDomain integrity refers to the range of acceptable values. It refers to the range of
    values that we are going to accept and store in a particular column within a
    database.
  34. 34Entity IntegrityEach row for an entity in a table should be uniquely identified. This is done with the
    help of primary keys. The entity constraint says that the value of the primary key
    should not be NULL. If the value of the primary key is NULL then we can't uniquely
    identify the rows if all other fields are the same.
  35. 35Referential integrityReferential Integrity is used to maintain the data consistency between two tables.
  36. 36Explain the implication for primary keys accepting null values.The primary keys is suppose to uniquely identify records, if two records of a single column
    have a NULL value, the column values are not considered equal. In simple words two
    NULL values are not considered as equal. This is the reason, Primary Key can’t have
    NULL values as they are not compared with any other value.
  37. 37Can a foreign key accept null valuesA foreign key can be null , when a foreign key’s is not known at the time of record
    generation then it’s kept null, given that column is created nullable.
  38. 38What is normalization ?Normalization is a database design technique that reduces data redundancy and eliminates undesirable characteristics like Insertion, Update and Deletion Anomalies. Normalization rules divides larger tables into smaller tables and links them using relationships.

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Fichas sobre Database concept, creado por Begué Ivan el 17/08/2022.
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Begué Ivan
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