What is Multivalued dimension?

Q: What is Derived data?

A: The data which is computed on the basis of the other data is known as a derived data. Like array,…

Q: What Are the Benefits of Data Cleaning in the Computer Science Field?

A: answer is

Q: What precisely does a dimensional model perform in the construction of a data warehouse?

A: Introduction: DM is a data structure technique that is ideally suited for data storage in a Data…

Q: Explain multIValued dImensIons?

A: Explain multIValued dImensIons?

Q: Physical and logical data models vary in what ways? What is the relationship between them?

A: Start: The logical model may be used to define company data and create business rules. The physical…

Q: Give examples of data that are suited for presentation in three dimensions.

A: Given: Give examples of data that are suited for presentation in three dimensions.

Q: at is the difference between centralized and parallevdistributed database

A: Lets see the solution.

Q: I am trying to write a an essay on the five step design method for relational databases

A: The above question is solved in step 2 :-

Q: what is the 10 application of matrixes in computer science or in information technology

A: In computer science, a matrix is a set of numbers laid out in rows and columns. Application of…

Q: A multivalued dimension is a dimension that has many values

A: Answer: A "Multi Valued Dimension" is a dimension with more than 1 value for each reality line. As…

Q: What is data-structure? Describe the types of Data Structures?

A: Data Structure: The data structure can be defined as the data element group, providing an effective…

Q: What the major differences are between object oriented programming and object oriented data model.

A: Differences: 1) Object oriented programming (OOP) is a computer programming model that organized…

Q: Are there any components of a data structure that need to be recognized all the way up to the…

A: Yes, there are data structure components that need to be identified all the way up to the…

Q: How well do data context and representation function?

A: Given: Data Source refers to a link established on a website from a server. The term is frequently…

Q: Define Data structure?

A: Data Structure:  The data structure is a concept of data management in computer memory.  The data…

Q: Contribute your own thoughts and some debate points on the terms "time variation" and "time…

A: Introduction: A database is a logically organized and electronically stored collection of structured…

Q: Describe some instances of data that might be appropriate for presenting in three dimensions.

A: Answer: There are so many instances of data to representing three dimension. we will discuss here…

Q: Physical and logical data models vary in what ways? Who knows what they have in common

A: Logical Data Model: Defines HOW the system should be implemented regardless of the DBMS. This model…

Q: Which three abstraction layers are applicable to data?

A: What is data abstraction? Database systems are made up of complicated data structures. Developers…

Q: What is a conformed dimension

A: What is a conformed dimension

Q: List and justify the three design objectives for relational databases.

A: Each table entry in a relational database is a document called the essential item, which has a…

Q: What is the definition of data-structure? What are the different kinds of data structures?

A: An information storage system used to store and organize data is a "data structure." An information…

Q: How is a "composite data type" different from a "atomic data type," and what are its advantages

A: Atomic data type is considered as a data type in which each data is a single, indivisible unit of…

Q: How many distinct sorts of data requests may there be in a distributed database system?

A: Database System: A distributed database is a collection of databases located all over the globe. A…

Q: What are the advantages and disadvantages of a distributed data processing system?

A: Introduction: Before discussing the distributed component of data processing, it is important to…

Q: Analytical data is the fundamental distinction between BI and adalytic data.

A: INTRODUCTION: To the untrained eye, Data Analytics and Business Intelligence appear to be the same…

Q: What does "heterogeneous" imply in the context of a distributed database

A: Different sites have different operating systems. DBMS products and data models. Its properties are…

Q: What is the significance of structured English in data processing models?

A: Structured English is used to represent all logic in terms of sequential structures, decision…

Q: In order for a data hierarchy to work correctly, its components have to be recognized all the way up…

A: Given:   In order for a data hierarchy to work correctly, its components have to be recognized all…

Q: Explain how hierarchy  relates to a dimension table.

A: To be determine: Explain how hierarchy  relates to a dimension table.

Q: Graph data structure?

A: Graph traversal is a technique used for searching a vertex in graph. It is also used to decide the…

Q: Identify all components in a data hierarchy from one bit to a database.

A: Identifying the components in data hierarchy: Database File Record Field Byte Bit

Q: What is a Data Definition Language (DDL)? Give an example of what you're talking about.

A: Data Definition Language (DDL): DDL is a subset of SQL. It is a language for describing data and its…

Q: In what ways dimension table are often not normalized.

A: To be determine: In what ways dimension table are often not normalized.

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: When do data processing models make use of structured English? Is there any reason why this…

A: Data Processing Models: Hierarchical, network, entity-relationship, and relational data models are…

Q: Explain data hierarchy with examples.

A: According to the question data hierarchy is most structure and well - form pattern in which the…

Q: Distinguish flat-file model and database model.

A: The Answer is in given below

Q: What do you mean by multIValued dImensIons

A: The answer is:

Q: Data granularity may be defined as:

A: Granularity of Data: Granularity is a term used in computer science to describe the breaking down of…

Q: What are the most critical tasks in data preprocessing?

A: Introduction: Data preparation is the process of converting raw data into an understandable format.…

Q: What exactly is data-structure? What are the different types of data structures?

A: Introduction: The data structure, also known as the data element group, is a method for saving,…

Q: What kinds of multiplicity are there?

A: Answer : Four types of multiplicity are presents :

Q: what exactly is a heterogeneous distributed database?

A: Introduction: A distributed database (DDB) is an integrated collection of databases that are…

Q: In data structures and algorithms,which is a better computing time for analysing an algorithm?

A: Answer: We can have three cases to analyze an algorithm: 1) The Worst Case 2) Average Case 3) Best…

Q: What is the definition of a linear data structure? Please provide a few instances.

A: Data Structures are a specialized means of organizing and storing data in computers in such a way…

Q: Define transitive dependence in the context of databases.

A: Before we can understand what transitive dependency is, we must know what a functional dependency…

Q: Explain the difference between data parallelism and task parallelism.

A: Lets see the solution.

Fundamentals of Datawarehouse

A data warehouse is a data repository which is used to store large quantities of historical data that are mostly used for creating reports that help businesses to identify their weaknesses and strengths. For example, demographics data about people of a region can help businesses identify the needs and preferences of the region’s population. A data warehouse acts as a central storage for storing data that comes from one or more heterogenous sources. It also consists of data which can be old and of historical value. One of the most important applications of this type of system is that it is used for supporting business intelligence and data analytics applications.