Please answer below questions based on this dimensional model and additional information provided      Q1: What is the maximum possible fact data volume in terms of record/row count? Answer:   Q3: The m:n ratio from attribute B3 to attribute B4 is changed from 1:3 to 1:1 due to some organizational changes. By how many times the maximum possible fact data volume (by record count) decreases? Answer: Q4: If there is an aggregate fact table at quarter dimension level with other attributes B4, C5 and A3. What is the maximum possible record count of this aggregate table as per the current state mentioned above? Answer:

Q: The discrepancy between EDA and hypotheses and why EDA is preferred by analysts during data mining.

A: In step 2, you will get answer

Q: Using the attached image of a relationship between the two entities, faculty and student, and the…

A: Primary KeyIt is a key in a relational database that is unique for each record.It is a unique…

Q: Relate normalization on any school DataBase. How this normalization affect the system?

A: I provide a handwritten solution for this as it includes some tabular data.

Q: eflect on the difference among reporting systems, data mining systems, and Big Data Systems. What…

A: Dfference between reporting systems , data mining systems and big data systems,-: Reporting tools…

Q: To explain how view increases data security and why view for data should not be completely relied…

A: Given: To explain how view increases data security and why view for data should not be completely…

Q: To explain how view increases data security and why view for data should not be completely relied…

A: To be determine: To explain how view increases data security and why view for data should not be…

Q: QUESTION 1 Which table in the following digram will gain a foreign key after the conversion from the…

A: Dear Student, In one to many case the side of one is the side which will have a foreign key and the…

Q: Explain the Classification in Data Mining. Which factors are considered in assessing the model?

A: Overview : There are two forms of data analysis that can be used for extracting models describing…

Q: Discuss the difference between Tabular and virtual Data Analysis?

A: The answer is

Q: The two most important qualities of big data are speed and variety. In actuality, how do each of…

A: Big Data is made up of a lot of data that isn't handled by typical data storage or processing units.…

Q: What is multiple fact taBles actually, and how does it work in practice?

A: Introduction: The FACT table contains the metrics, measures, and facts of the business process, and…

Q: Using an example, explain the data anomalies that can be created by data redundancy?

A: Data anomalies are caused when there is too much redundancy in a database. Data redundancy is caused…

Q: In practice, how do numerous fact tables work?

A: A fact table is used in conjunction with dimension tables. A fact table contains the data to be…

Q: The appearance of the same copy of data in different location leads to _________.     Data…

A: Question The appearance of the same copy of data in different location leads to _________. Data…

Q: State why some experts are against the practice of denormalization ?

A: We need to discuss, why some experts are against normalisation.

Q: State why some experts are against the practice of denormalization ?

A: To be determined: Why some experts are against the practice of denormalization

Q: State why some experts are against the practice of denormalization ?

A: Given: Explain why certain professionals are opposed to the practise of demorlization.

Q: Define the major feild of data managment with real life examples?

A: Data Data is a collection of raw facts and statistics Each and everything around us is comprised of…

Q: What are the principles of both DDA (data depended acquisitions) and DIA (data indepdenent…

A: We need to explain the principles of both DDA and DIA and the limitations of each technique.

Q: Given the basic ER and relational models, which of the following is INCORRECT? A An attribute of an…

A: Option (c) is the INCORRECT option

Q: What are the advantages of an enterprise data model for Mercy? Is it more or less critical for Mercy…

A: Given: What are the advantages of an enterprise data model for Mercy? Is it more or less critical…

Q: Explain the differences between an enterprise data model and a conceptual data model. How many…

A: What is Data Modelling? Data modeling (data modelling) is the process of creating a data model for…

Q: Consider the users of your data warehouse. Are you able to categorise people into casual, frequent,…

A: This question explains about the users of data warehouse and basics of categorization that which is…

Q: How might handle slowly changing dimension (SCD) attributes in one of three ways (Kimball, 1996b,…

A: Very simple, there are six different types of Slowly Changing Dimensions that are widely used: (1).…

Q: b.What is mean by data redundancy and Inconsistency? Provide an example from real life

A: b. Data Redundancy: Data redundancy is a condition created within a database or data storage…

Q: Tiny College wants to keep track of the history of all its administrative appointments, including…

A: There will be three entities: Employee, College, and Admin_HIST.   Employee: Primary key: EMP_ID.…

Q: Make a comparison between transactional data management methods and analytical data management…

A: Given: Make a comparison between transactional data management methods and analytical data…

Q: The two most critical characteristics of large data are its velocity and diversity. In practice, how…

A: Big data is a topic of study that focuses on methods for analyzing, extracting information from, or…

Q: There is a central fact table and 4 dimensions – Time, A, B and C. The ratio m: n between 2…

A: There is a central fact table and 4 dimensions-Time,A,B and C.The ratio m:n between 2 attributes of…

Q: Consider your data warehouse's possible users. Are you able to categorize users as casual, regular,…

A: Given: Consider your data warehouse's possible users. Are you able to categorize users as casual,…

Q: hat are most likely to occur as a consequence of data redundancy? What can be done to prevent such…

A: Three types of problems occur in the database due to installation, installation and deletion or…

Q: What is a difference between fact table and dimension table

A: To be determine: What is a difference between fact table and dimension table

Q: For what reason do we need to do exploratory data analysis? Why shouldn't we just go right into the…

A: Introduction: Exploratory data analysis (EDA) refers to preliminary data analysis and discoveries…

Q: Velocity and variety is the characteristic for big data, what is example to each of this…

A: Velocity: It means that the speed with which information is being produced. Remaining with our…

Q: What are multiple fact taBles, and how do they work in practice?

A: It is possible to query relational databases using multiple-fact, multiple-grain queries by joining…

Q: Model View Controller is the abbreviation for Model View Controller. How will you utilize MVC as an…

A: Model–view–controller (MVC) is a software design pattern that divides related program functionality…

Q: According to the data model, is it required that every entity instance in the PRODUCT table be…

A: Database Management System(DBMS) is a software for storing and retrieving users data while…

Q: What are the differences between the objectives of data summarisation and data reduction?

A:

Q: Explain why certain professionals are opposed to the technique of denormalization and why they…

A: Denormalization is not recommended for the following reasons: The process of turning a normalized…

Q: In databases, what are the benefits and negatives of using logical views to join tables together?…

A:

Q: Explain why veracity, value, and visualization can also be said to apply to relational databases as…

A: Veracity: It refers to the trustworthiness and accuracy of the information. and, if the available…

Q: When we are using MS Access to define our tables, which model are we creating?   Question 11…

A: Model used for defining tables A physical data model is used for defining all the logical database…

Q: When we are using MS Access to define our tables, which model are we creating?   Question 11…

A: Model used for defining tables A physical data model is used for defining all the logical database…

Q: Which data model does not support the many-to-many relationship between entities? Explain that model…

A: Since it is not possible to store the data efficiently in relational databases, you cannot enforce a…

Q: A table with no repeating groups in any attribute and atomic values in each column is, at a minimum,…

A: GIVEN QUESTION A table with no repeating groups in any attributes and atomic values in each column…

Q: Is there a direct correlation between SOXs and the requirement for a company to enhance the quality…

A: The  United  Stаtes  Соngress  раssed  the  Sаrbаnes-Оxley  Асt  in  2002  аnd  estаblished  rules…

Q: Which data model does not allow for the existence of a many-to-many connection between two or more…

A:

Q: Please answer below questions based on this dimensional model and additional information provided…

A: There is a central  fact table and 4 dimensions-Time,A,B and C.The ratio m:n between 2 attributes of…

Q: Answer the following questions using MongoDB queries. a. What is the distinct list of inspection…

A: a. What is the distinct list of inspection "sector" in the current inspections collection? How many…

Q: ______________is a phrase used to describe data sets that are so vast and complicated that standard…

A: To be determine: what is a phrase used to describe data sets that are so vast and complicated that…