The huge amount of data sets from Covid-19 such as number of cases, number of repeated cases, travel history, symptoms, severity of cases, and others, can be used to develop applications to manage Covid-19 pandemic. Provide One (1) application that uses big data technology to manage Covid-19, besides the one stated in the diagram above. Your explanation must include the following. Application and target group Data source (example: social media, surveillance system) used for the application Impact of the application

Q: the benefits and drawbacks of various data warehousing architectures, such as the Kimball and Inmon…

A: in the following section we will learn about the benefits and drawbacks of various data warehousing…

Q: If you could perhaps clarify TWO alternative ways that such data problems might be prevented, it…

A: Data risks: Data hazards arise when data-dependent instructions have an impact on data at various…

Q: What are the three different kinds of various data sources, and how do you explain and define them?…

A: Computer data: User names are assigned to the computer's data sources. Must not be readily…

Q: To classify the numerous data permutations, analyse the features of enormous datasets in detail.

A: In the realm of data analysis, the organization refers to the course of categorizing data hooked on…

Q: How, in no more than 150 words, can you distinguish between data mining and warehousing in terms of…

A: Data mining and data warehousing are two popular techniques used for managing and processing large…

Q: Discuss data warehousing architectures, such as Kimball and Inmon methodologies. What are the key…

A: Given,Discuss data warehousing architectures, such as Kimball and Inmon methodologies. What are the…

Q: What are the three different kinds of various data sources, and how do you explain and define them?…

A: Machine data: On the computer, the data sources have user names. Must stay on the system absorbing…

Q: How do you connect the data collected with the analysis tools on the cloud platform? Explain…

A: From loading data to connect it to visualization tool , involves many steps in between like data…

Q: Discuss the concept of distributed data warehousing and its advantages for large-scale data…

A: A specialised method of managing data called "data warehousing" entails collecting, archiving, and…

Q: What are the limitations and or pros/cons of using CLI (command-line interface) and GUI…

A: Next generation sequencing (NGS): In biological and medical sciences, high-throughput or…

Q: For whom and how does relying on separate data silos pose difficulties and cause anxiety?

A: Introduction: Key computer concerns that lead to needlessly high prices and cost reductions include…

Q: In no more than 150 words, please explain the fundamental differences that can be made between data…

A: The Answer is in given below steps

Q: Who, What, Where, and When to aid in locating the cause(s) of this issue? Which topics do you…

A: The first step in the process of stratification is known as the sorting of data, people, and items…

Q: Please provide us an overview of what makes a data input field reliable. There may be times when a…

A: There are a few fundamentals of well-designed data entry fields that guarantee precise and efficient…

Q: What ethical considerations and challenges arise in the field of data science, especially concerning…

A: Ethical considerations and challenges in the field of data science, especially concerning privacy,…

Q: What are the three kinds of varied data sources and how do you characterize them? Explain what the…

A: User names are assigned to the data sources on the computer. Must stay on the data consuming machine…

Q: What precisely are the SPSS data processing techniques, and how do they function as a result of…

A: Let's have a look at the solution. SPSS is these name of a collection of the data analysis software…

Q: What are the primary challenges in designing and implementing a data warehousing system? How can…

A: Designing and implementing a data warehousing system is a task that comes with challenges.Data…

Q: For the purpose of classifying the many different data combinations, conduct in-depth research and…

A: The analysis of large datasets has become increasingly important in various fields and industries.…

Q: To what extent does relying on separate data silos lead to problems that warrant concern?

A: Introduction: Computer malfunction and loss cause excessive cost increases and decreases.…

Q: When compared to traditional methods of data collection, how do you think JAD and RAD fare? What are…

A: Introduction: Both  JAD(Joint application development) and RAD (rapid application development) are…

Q: Please offer a simplified description of source data automation (SDA), emphasising at least two (2)…

A: Answer: Source Data Automation: The most common way of gathering data at their starting place in…

Q: If so, do you have any particular ways for tracking data flows that you would suggest?

A: Introduction: A data flow diagram (DFD) depicts how data flows within a process or system.It…

Q: What exactly is an anomaly, and how would you define it? Were there really three outliers in the…

A: This topic examines the chance of discovering three outliers in a database as well as the anomalies…

Q: The term "Hybrid Approach" in the context of data warehousing pertains to a methodology that…

A: That is true! A "Hybrid Approach" is a methodology used in the context of data warehousing that…

Q: First, you should create a list of the challenges that are posed by a significant quantity of data,…

A: Data refers to any raw, unorganized, and unprocessed facts, figures, or information that can be…

Q: In a few sentences, please describe the steps involved in the data life cycle

A: From its production or capture until its archiving or erasure after its usefulness has expired, a…

Q: What are ppm, ppb and ppt? When to use these units

A: While doing programming in any programming language, you need to use various variables to store…

Q: What data flow tracking techniques are available?

A: The answer to the question is given below:

Q: The elaboration phase of the UP is similar to the traditional SDLC analysis phase. Select one:…

A: The elaboration phase of the UP is similar to the traditional SDLC analysis phase

Q: What criteria were used to assess classification and prediction methods?

A: The classification and prediction algorithms are evaluated using the following criteria.

Q: Please offer a simplified description of source data automation (SDA), emphasising at least two (2)…

A: SDA stands for "Source Data Automation.": The process of acquiring digital values at the source and…

Q: Data mining and data warehousing should be distinguished by their applications and methods in 150…

A: Understanding the distinction between data mining and data warehousing is crucial in the realm of…

Q: ack up against other methods of data collection? Can you list some of the main advantages of using a…

A: JAD and RAD; An item is a fact area with particular qualities and behaviour. OOP emphasizes…

Q: In this inquiry, the task at hand is to elucidate and articulate the three distinct classifications…

A: Data sources are critical in various fields, as well as computer discipline, data psychotherapy,…

Q: The processing of enormous datasets requires modern tools and techniques, which you will discuss…

A: Introduction Processing of enormous datasets, also known as big data processing, refers to the…

Q: does the use of microchips in data warehousing contribute to real-time data processing and analysis?…

A: In the ever-evolving world of technology, data has emerged as the new gold. As organizations look to…

Q: Relying on separate data silos is fraught with difficulty and gives cause for concern over who and…

A: Relying on separate data silos, where data is stored and managed in isolated repositories, can pose…

Q: What really differentiates a DataReader from a DataSet, as well as the intricacies of how this…

A: Required: What is the distinction between a Data Reader and a Dataset, and what are the differences…

Q: If you could perhaps clarify TWO distinct ways that possible data concerns might be prevented, I…

A: DANGEROUS DATA OCCURRING When data-dependent instructions have an effect on data at various stages…

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.