What is normalization?
Q: When someone claims that the data granularity has been specified, what precisely do they mean by…
A: Granularity is a phrase that originates from the field of computer science and refers to the process…
Q: What is the CAP theorem and how does it work? What does it have to do with NoSQL databases?
A: Introduction: The CAP theorem, also known as Eric Brewer's theorem, argues that a database can only…
Q: Do Bitmap indexes provide any advantages over traditional indexes?
A: Introduction:- Bitmap indexes are a sort of database index that employs bit arrays, which are…
Q: Explain how LINQ is useful than Stored Procedures?
A: In.NET 3.5, a new technique called LINQ was introduced. The abbreviation LINQ stands for Language…
Q: Give an example, other than the one in this text, of the lost update problem
A: Lost update problem: If two or more users want to update the same data at the same time one user…
Q: How is a data race defined precisely
A: Data race The Thread Analyzer recognizes information races that happen during the execution of a…
Q: What is the definition of data granularity?
A: Data Granularity: Granularity is a term used in computer science to describe the breaking down of…
Q: What is the term "Denormalization"?
A: Denormalization is the process of adding precomputed redundant data to an otherwise normalized…
Q: What is normalization? What is masking?
A: Data are raw facts and figures which is increasing exponentially in today’s world. Every second huge…
Q: Define the terms maximum cardinality and minimum cardinality.
A: Maximum Cardinality Maximum cardinality is defined as the maximum number of entity classes which are…
Q: 7. What is the maximum limit that should be used in the IDTR?
A: Solution for 7th answer is : IDTR: The Interrupt Descriptor Table Register: IDTR is a data…
Q: Which data structure is most commonly used to index databases?
A: Index databases: A table index is a data structure that will provide a mechanism by which the table…
Q: What is a data sublanguage?
A: Given:- What is a data sublanguage?
Q: Contrast the terms normal form; normalization?
A: Answer: Normal Form: 1. This is used to reduce or avoid the redundancy in database tables. 2. Here,…
Q: What role does the data dictionary play in the design of databases?
A: In this question we have to understand the role of data dictionary plays in designing the database.…
Q: what is invalid data?
A: Data validation: - It is the method of verifying the accuracy and consistency of the data from…
Q: what is Dataset ?
A: A Dataset can be seen as the collection of different data. Commonly, the Dataset relates to the…
Q: normalization is and its different forms.
A: normalization and its different forms.
Q: What is Data definition language (DDL)?
A: Data Definition Language:Data definition means providing the first step to the existence of…
Q: Explain the concept of normalization
A:
Q: Discuss how the ANSI SPARC architecture contributes to data independence.
A: Introduction: It is a database management design standard used to specify the exact structure of a…
Q: Why is data transformation simplified?
A: Introduction: Transformed data may be easier to utilise for both people and computers. Data that has…
Q: What is the difference between standardisation and normalisation? And can you offer some instances…
A: Introduction: In the business world, "normalization" usually refers to the range of values being…
Q: What does the table maintain by OSPF ?
A: Open Shortest Path First (OSPF): Open Shortest Path First (OSPF) is an Interior-Gateway Protocol…
Q: what is normalization?
A: The answer is given below ???
Q: What exactly is a data race?
A: Introduction: A data race happens when two or more threads in the same process simultaneously visit…
Q: A single collection of data stored in one place is called a data center; True or False
A: A facility, centralized the IT operations and equipment of an organization to sort, process and…
Q: What data transformation methods are used?
A: Given What data transformation methods are used?
Q: Define Normalization
A: Answer :
Q: What is stale data?
A: It is a caching artefact where an item in the cache is not the latest version committed to the data…
Q: How are indexes defined? Compare the clustered and non-clustered indexes.
A: Let's see the solution :
Q: What is data granularity?
A: Data Granularity:In the field of computer science, granularity means, breaking down of larger tasks…
Q: What is swapping and what is its purpose?
A: What is swapping and what is its purpose?
Q: Which advantages does Quinlan point out in (1995) about stored procedures?
A:
Q: Part C: Normalization. Using the table below normalize the table below to its 3rd normal form. Show…
A: ANSWER:-
Q: Which data structures is most commonly used to index databases ?
A: Databases for indexing:A table index is an information structure that provides a technique for…
Q: But what does it mean precisely to be data independent, anyway?
A: Data is raw facts , figures which upon filtration gives information.
Q: Consider the following table is used to store contact information: Name Company Address Phone1…
A:
Q: What do NoSql databases entail?
A: A NoSQL database: Design simplicity, horizontal scalability to clusters of servers, and tighter…
Q: What exactly are indexes? Distinguish between the clustered and non-clustered indexes.
A: Answer the above questions are as follows:
Q: Provide a DDL script by using the following relational schema.
A: here we have 4 table. A table consist of corresponding columns and rows. Each row is uniquely…
Q: 4. If the contents of the GDTR are 0021000001FFH, what are the starting and ending addresses of the…
A: As per our guidelines we are supposed to answer?️ only one question. Kindly repost other questions…
Q: What exactly do you mean by Data Purging?
A: Introduction: Data purging is a method that deletes inactive or obsolete records from a database…
Q: What is the definition of de-normalization? What are you giving up by de-normalizing?
A: De-normalization Denormalization is a strategy used in a standard database built previously to…
Q: Why do we need normalization? And what we do in normalization? What is not in scope of Reverse…
A: Why do we need normalization: Normalization is a technique for organizing data in a database. It is…
Q: When someone claims that data granularity has been specified, what precisely does it mean?
A: Granularity of the data: What exactly does "Data Granularity" mean? A data structure's amount of…
Q: What do you mean by "Data Purging"?
A: Introduction: Data purging is a technique for permanently removing inactive or old records from a…
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- For the given design, Which of the following is NOT true about the design? Select one: a. It supports modular design. b. The AuthenticateUser sequence diagram can be reused only after a doB message call. c. The AuthenticateUser sequence diagram can be reused only when the authenticate() message is invoked on a B object. d. The DoFoo sequence diagram can be reused in any context where a B object and a C object are involved. e. The doB message must be called after the doA message.Clayton Elementary School is converting the wish list request form below into online form because of COVID-19. 1. Class Diagram: Class name, attributes, and data type Operations (Methods) that you need to perform 'Fill Wishlist' Relationship between classes. Multiplicity of each relationship Assumptions that you need if any Sequence Diagram: Actor, boundary, and control objects Objects that participate this use case Messages, operations, etc. that indicate a successful filling of the form as illustrated in the form above.Which of the following symbols represents a many-to-many relationship in an E-R model?a. a straight lineb. a dashed linec. a straight line with a crow’s foot at both endsd. a straight line with a crow’s foot at one end
- Based on: Entity-Relationship Diagram with the following requirements: There are Professors (ie users) with the changeable attributes Professor_Name, Field, College, PhD_Date There are Flubs (ie posts) with the unchangeable attributes Content, Purpose, Moment, Inventor (which is the creating Professor) There are Bounces (ie shares) where a Professor can share another Professor's Flub Add ID attributes as necessary Content of Flubs only needs to be a text of fixed length Professors can have/be Colleagues (ie friends/followers) A Flub can get Citations (ie likes) by other Professors Show the Relational Algebra AND Domain Relational Calculus formulas for each. Show a portfolio of the Flubs by a Professor Show a portfolio of all Flubs and Bounces (the Flubs bounced) by all of a Professor's ColleaguesBased on: Entity-Relationship Diagram with the following requirements: There are Professors (ie users) with the changeable attributes Professor_Name, Field, College, PhD_Date There are Flubs (ie posts) with the unchangeable attributes Content, Purpose, Moment, Inventor (which is the creating Professor) There are Bounces (ie shares) where a Professor can share another Professor's Flub Add ID attributes as necessary Content of Flubs only needs to be a text of fixed length Professors can have/be Colleagues (ie friends/followers) A Flub can get Citations (ie likes) by other Professors Create the SQL for a single View called "Flubbergasting" of a Professor which includes all attributes from Entity-Relationship Diagram, as well as how many Flubs, the average number of Bounces the Flubs had, and total Citations across all Flubs by that professor.Below is my RolePermission Model:@Entity@Getter@Setterpublic class RolePermission {@Id@GeneratedValue(strategy = GenerationType.SEQUENCE,generator = "Id")// @Column(name = "id", nullable = false)private Long id;//@ManyToOne(fetch = FetchType.LAZY,cascade = CascadeType.REMOVE)// @ManyToOne@JoinColumn(name = "roleId")@JsonIgnoreRole role;@ManyToOne(fetch = FetchType.LAZY,cascade = CascadeType.REMOVE)// @ManyToOne@JoinColumn(name = "permissionId")// @JoinColumn(name = "permissionId", referencedColumnName = "permission",// insertable = false,updatable = false)@LazyToOne(LazyToOneOption.NO_PROXY)@JsonIgnorePermission permission;@CreatedDate@CreationTimestamp@DateTimeFormat(iso = DateTimeFormat.ISO.DATE_TIME)LocalDateTime createdAt;@LastModifiedDate@UpdateTimestamp@DateTimeFormat(iso = DateTimeFormat.ISO.DATE_TIME)LocalDateTime updatedAt;}
- Given the following relation that stores details of employees and their projects: ProjectID EmployeeName EmployeeSalary 100-A Salim Housni 2000 100-A Taleb Maashani 1800 100-B Taleb Maashani 1800 200-A Salim Housni 2000 200-B Salim Housni 2000 200-C Salim Housni 1350 200-C Taleb Maashani 1800 200-D Salim Housni 1350 If the functional dependencies are consistent with the above relation, put TRUE. If they are not, put FALSE ProjectID --> EmployeeName (....) ProjectID --> EmployeeSalary (....) ProjectID , EmployeeName -->EmployeeSalary (....) EmployeeName --> EmployeeSalary (....) EmployeeSalary --> ProjectID (....) EmployeeSalary --> EmployeeName , ProjectID (....)It is possible to have both a primary key and a candidate key for the same attribute.Need a Rule set, architecture design and access control matrix for below: RBAC Ruleset: So 1 subjects/owner 1) users (subjects), 2) files (objects), 3) roles, ===can be 4 roles user 4) operations. Roles are abstractions like “researcher,” “analyst,” “system_operator,” or “employee.” Operations are abstract tasks like “reporting,” “analysis,” “compiling” or “view”. Here’s a quick partial example: Jerry assigned NOVA_researcher NOVA_researcher does NOVA_reporting NOVA_reporting can rw NOVA/reports/*.txt
- What is used to indicate a weak relationship in an ERD in Crow’s Foot notation? Dashed line between entities Double rectangular box Solid line between entities Single rectangular boxHow does 5NF differ from 4NF? a.) 5NF has no multivalued dependencies. b.) There is no difference between the two. c.) 5NF is more practical in real-world settings. d.) 5NF does not contain any join dependencies.Continuing with the Vince's Vinyl scenario from Hands-On Database, create an updated ERD after Normalization ? The diagram could pass the first three levels of normalization. There are a couple of issues, though, that could lead to further normalization: Customers and Sellers can be the same people. This could lead to update anomalies as the same person could have their information in two places. The solution is to create a Person entity that contains all names, phone numbers and email addresses. The person key could represent them in either role in Sale, Request, or Purchase. Another subtle issue relates to the entity Album. If Vince were to remove an album, and it was the only copy of that album, he would lose the album information. Also, there is potential redundancy in Album, since each physical vinyl is treated as an individual item in the table. Multiple copies of the same album would result in multiple entries identical except for purchase date and perhaps condition. To solve…