Moving to another question will save this response. Question 5 is a data model that has less semantic and addresses the problems of big data. Hierarchical model a. Ob. Relational model NOSQL Semantic model d. A Moving to another question will save this response.

Q: Big data is distinguished by two primary characteristics: its speed and its diversity. In reality,…

A: Big data is distinguished by two primary characteristics: its speed and its diversity? 1. Speed: Big…

Q: Provide use of examples to make a comparison and contrast between unstructured and structured data.…

A: Structured data  are data that is highly organized, factual, and to-the-point.  Unstructured data…

Q: describe how LDAP can be used to provide multiple heirarical views of data,without replicating the…

A: Answer :  The lightweight Directory Access protocol (LDAP) is used for accessing directory…

Q: What traits distinguish unstructured data from structured data? A: Rows and columns are used to…

A: EXPLANATION: Unstructured data is information that is not organized according to a pre-determined…

Q: Explain the key design principal of pig latin

A: The Answer is in below steps

Q: Analyze Logical Data Independence and Physical Data Independence with examples

A: Actually, data independence the ability to modify the physical schema without causing any changes in…

Q: Consider unstructured vs organized data using examples. Which one is more common in corporate…

A: Introduction: More or less, any data that isn't organised falls under the category of unstructured…

Q: What is a key problem associated with defining big data with the five Vs?

A: The five Vs in which big data is defined are as follows:  Volume Variety  Velocity Veracity Value…

Q: What is the main issue with using the five Vs to define big data?

A: The 5 V's of big data (velocity, volume, value, variety, and veracity) are the five fundamental…

Q: Represent the following information using ER Diagram symbols and identify different types of…

A: Entity :  A thing in the real world with independent existence or Any particular row (a record) in a…

Q: Which of the following is NOT characteristic of a relational database model? A Tables B Tree like…

A: The correct answer is: B. Tree like structure

Q: Discuss what is meant by the statement "Relational Databases add context on the way in, Big Data…

A: Relational Databases It is a type of data base that stores and provides access to data points that…

Q: What are Forward Engineering and Reverse Engineering in a data model

A: Reverse engineering is the process through which the logical and conceptual schemas of a legacy…

Q: Discuss the solution offered in the big data technology in relation to data structure and algorithms…

A: A big data platform is a system that combines the functions of various utilities and tools for data…

Q: Define data mining and explain with an example how this integrates artificial intelligence, machine…

A: Data mining is the process of sorting through large data sets to identify patterns and relationships…

Q: Using RDF and SPARQL, create a data model for a system (such as a company or institution) of your…

A: Answer

Q: cterised by a number of key qualities, the most prominent of which are its velocity and its variety.…

A: Introduction: Big information is outlined as information with larger diversity, coming back in…

Q: 24 Data Mining Given a data cube summarizing the sales data of ABC company having three…

A: Given a data cube summarizing the sales data of ABC company having three dimensions: address (with…

Q: Discuss the Concept of BIG DATA and HISTORICAL Data

A: BIG DATA It is the set of technologies that are create to analyze, manage and store the bulk or…

Q: How can Big Data/Text Information Extraction technologies be applied to multilingual datasets?

A: The goal of a multilingual toolkit is to execute a wide range of activities in the extraction of…

Q: ER modeling is one approach in creating a data model. There are several approaches in creating a…

A: Entity Relationship Model (ER Modeling) is a graphical approach to database design. It is a…

Q: To contrast unstructured and organized data, utilize examples. In a business setting, which kind is…

A: Given: To contrast unstructured and organized data, utilize examples. In a business setting, which…

Q: What is the most significant challenge that arises when characterizing big data using the five Vs?

A: Organizations can employ big data, for instance, in the energy or medical sectors. Big data can be…

Q: QUESTION 3 Every year or two, the capacities of computers have approximately doubled This…

A: Question 3: Option a: the law of large numbers: It descirbes the result of performing the same…

Q: Represent the following information using ER Diagram symbols and identify different types of…

A: Here is the solution:

Q: Examine and explain one noteworthy data or text mining application?

A: Exploration of data Data mining is the practice of identifying patterns in huge data sets using…

Q: Describe two characteristics that database systems added in the 2000s to help them manage…

A: Database Systems: The database's data has a number of qualities.  The database's data is reliable,…

Q: |BIG-DATA Explain in brief about the data types and schemas in HIVE.

A: Given Data is explain about Data types and schemas in HIVE The table below lists the data types…

Q: Give a True or False answer, as well as an explanation. In the Big Data universe, Spark has…

A: Introduction: Spark is a data processing engine that is built on the Java Virtual Machine (JVM) that…

Q: Briefly define the words. 1.Data preparation 2.Visualizing data 3. Adaptive machine learning

A: Introduction: Data preprocessing is a data mining technique for converting raw data into a valuable…

Q: hat is the Logical data model, Logical data modelling, Physical data model and Physical data…

A: Data is a crucial corporate asset in today's competitive digital environment since it represents…

Q: Assignment Details Su22 - CPS 401 - Defensive Security Purpose This SPLUNK eLearning course…

A: “Since you have posted a question with multiple sub-parts, we will solve first three subparts for…

Q: What is the difference between controlled and ?uncontrolled redundancy Illustrate with examples…

A: Answer: Difference between controlled and uncontrolled redundancy: When the same data is stored in…

Q: What is data mining? In your answer, address the following: (a) Is it another hype? (b) Is it a…

A: Data mining refers to the process or method that extracts or “mines” interesting knowledge or…

Q: Create a ER data model to reflect the process of a consumer opening a checking account at a bank.The…

A: SCENARIO A customer opening an account in a bank consists of the customer who opens an account of a…

Q: Design a data model for a system (like organization or institution) of your choice using RDF and…

A: Actually, given question regarding data model system.

Q: Let’s think about a medium or small business culture. Are there any social or cultural barriers to…

A: A essential purpose of a firm is to develop and maintain a competitive benefit within the market.¹…

Q: down the role of decion tree in datascience?

A: Actually, given question regarding  data science

Q: When classifying data, when should we use the Nave Bayes approach, and when should we avoid it?

A: When to implement the Naive Bayes Algorithm When there are few training data points. In the course…

Q: 4. Compare SQL databases with NoSQL databases.

A: Given: 4. Compare SQL databases with NoSQL databases. 5. Develop a simple logical data model for…

Q: "Bigtable's data model is essentially like a very large three dimensional spreadsheet". Enter your…

A: - We can answer the first question only as per our guidelines. - We need to validate the statement…

Q: What is the significance of time as a dimension in a data warehouse or data mart?

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

Q: What is the difference between data mining and meta analysis

A: Data-Mining:-> it is a process of ousting patterns from large data sets and analyzing a large…

Q: What is a major issue with using the five Vs to define big data?

A: Introduction: The five Vs that define big data are as follows:    Volume     Variety      Velocity…

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.