Why is the essence of Big Data always associated with Hadoop?, even though it doesn't have to use hadoop. What makes Hadoop so special when it comes to big data compared to other data stores?

Q: What would you recommend as a Big Data Architecture for a business that offers its clients access to…

A: Below is the complete solution with explanation in detail for the given question.

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: Q1.4  Explain the following parts of the data warehouse definition: • structured repository •…

A: Structured Repository: - Data Repository is a single repository for consolidating data from many…

Q: How might Mercy benefit from an enterprise data model? Does Mercy's big move into big data make it…

A: Actually, the answer has given below:

Q: What is meant by the term "big data"?

A: Data is playing a very crucial role in this information age. To manage the data of huge volumes,…

Q: In general, What is the Division of Layers and Architecture in Big Data?

A: Big data Architecture:-                     Big data architecture is the foundation for big data…

Q: 1. What are the 3V features of big data? Please briefly describe them.

A: As per guidelines i can answer only one question, For answers of other questions please ask…

Q: 1.    Patrick is working for a small data strategy company and involved in a strategy project. Big…

A: Answer :- a. SQL-based relational database was less prepared to deal with quickly extending data…

Q: What what is a data warehouse? In a few sentences, please explain why data warehousing is necessary

A: Here in this question we have asked that what is a data warehouse? And why data warehousing is…

Q: Suppose that a data warehouse contains 20 dimensions, each with about five levels of granularity.…

A: A data warehouse is a central repository of data and information which is used for storing,…

Q: How is Hadoop related to Big Data?

A: Answer: Hadoop is one of the important java frameworks which is used for storing the data and also…

Q: . List the differences between the two categories of technology, Hadoop and NoSQL, which have become…

A: Difference between Hadoop and NoSQL

Q: What does the term "big data" actually include, and how may it be useful to you?

A: Definition: The term "big data" refers to a collection of information that is not only very large in…

Q: Hadoop can offer significant advantages when processing Big Data?

A: Introduction: Hadoop Distributed File System is the primary data storage system used by Apache…

Q: The fact that big data comes in many formats and may be structured or unstructured is an indicator…

A: Structured data, when data source format of known. Unstructured data, when data source format is…

Q: rm, and Load (ETL) process have on a Data Warehouse's performance? What are some of the data sources…

A: Impact of  ETL on a Data Warehouse ETL is a method that collects data from a variety of sources,…

Q: Extract, transform, and load (ETL) has what effect on a data warehouse's structure? Data comes from…

A: Answer:

Q: What what is a data warehouse? In a few sentences, please explain why data warehousing is necessary.

A: The question has been answered in step2

Q: discuss tools for hadoop ecosystem and explain their importance for companies dealing with big data

A: Please refer below for your reference: We can say that the hadoop ecosystem is neither a programming…

Q: How data warehouse is different from data mart?

A: Data Warehouse:   Data warehouse contains the collection of data that is used for decision making…

Q: What is the relationship between Hadoop and Big Data?

A: Hadoop is a framework that can handle and process a significant volume of Big Data, whereas Big Data…

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: While reading about Big Data, you might find the terms ELT, ETL, Data Warehouse, Data Lake. Using…

A: Answer 1: ETL ELT ETL is the Extract, Transform, and Load process for data. ELT is…

Q: 3)How might Mercy benefit from an enterprise data model? Does Mercy’s move into big data make it…

A: Mercy: Mercy is the health care system which has 46 acute care and specialty hospitals and more…

Q: Big Data Cluster has become dependent on cloud computing for its infrastructure. With a few minutes'…

A: Big data as a service is gaining traction as a way for businesses to obtain a competitive advantage…

Q: hat is hadoop ecosystem and discuss its importance in big data

A: What is hadoop ecosystem and discuss its importance in big data

Q: What is a data warehouse's purpose?

A: A data warehouse is a type of data management system that is designed to enable and support business…

Q: Hadoop has two main features that have made it the industry standard for handling Big Data. Please…

A: Nowadays companies are adopting her to big data tool to solve their big data queries and their…

Q: Explain the differences in processing structured data versus Big Data. What are each basic set of…

A: Structured data  Structured data is well organised which can be directly given for predicting any…

Q: How would you design a Big Data architecture for a business that offers its clients with flight…

A: Answer: Large-scale information design is the base for large-scale information analysis. It is the…

Q: Discuss how the several characteristics of big data can significantly apply to data processing in an…

A:

Q: How Hadoop provides solution to the Big Data problems?

A: Given: How Hadoop provides the solution to the Big Data problems?

Q: Explain ETL and the business value of a data mart.

A: Introduction: ETL is an abbreviation for three database functions: extract, transform, and load,…

Q: Your data warehousing project team is discussing whether to build a data warehouse prototype first.…

A: Warehouse of data The data warehouse is a repository for data that is utilized for decision-making…

Q: What is the role of source data automation in commerce and financial institutions?

A: Introduction: Source data Automation: The act of collecting data digitally at its point of origin…

Q: What are the reasons Pine Valley Furniture Company could require a data warehouse?

A: Data warehouse for Pine Valley Furniture Company (PVFC) Combining the data from one or more sources…

Q: 1.    One of the advantages of a Hadoop implementation is that it provides a high level of computing…

A: 1. → Hadoop : -  Hadoop is a Java based, open source software framework that is used for distributed…

Q: There are two programming models in Big Data Ecosystem i.e. Map Reduce and Spark, what are the…

A: 1.There are two programming models in Big Data Ecosystem i.e. Map Reduce and Spark, the similarities…

Q: What is data mart and its advantages

A: Actually, data mart is part of data ware house.

Q: There are two programming models in Big Data Ecosystem i.e. Map Reduce and Spark, what are the…

A: A data ecosystem is a collection of infrastructure, analytics, and applications used to capture and…

Q: 2. Explain what the term big data refers to. What benefits does it have, and what challenges does it…

A: Big data is data that contains greater variety, arriving in increasing volumes and with more…

Q: COURSE: BIG DATA PROCESSING QUESTION: Distributed Computing and Distributed File System are the…

A: A Hadoop data cluster is regarded as a huge collection of networked nodes that can execute…

Q: Developing a Well-Governed and Secure Big Data Environment?

A: Here are the 12 questions : Have you evaluated your own traditional data security approach? How…

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.