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discussion and reply to student

by | Jun 7, 2023 | Uncategorized | 0 comments

by | Jun 7, 2023 | Uncategorized | 0 comments

discussion and reply to student

    

Week 9 Discussion – Relational Set Operators

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A  relational database model allows database users to analyze data  thoroughly. To accomplish this, advanced commands such as “union” and  “intersect” may be used.

  • Describe a business scenario where a “union” relational set operator may be used to merge two similar data sets.
  • Analyze  the analysis and data consistency advantages of using a “union”  operator rather than simply merging two data sets into one result table,  within the context of your business scenario.
  • Be sure to respond to at least one of your classmates’ posts.

Reply to student below

  

LaRonda McKay         

Thursday Jun 1 at 5:39pm          

Hello Class,

We consider a scenario where a business wants to combine customer  data from two different sources: an online store and a physical retail  location. The physical retail store maintains a separate database with  similar customer information but includes additional information like  addresses and phone numbers. The online store carries a database with  customer information such as names, email addresses, and purchase  history. The “union” relational set operator combines these two related  datasets. The union operator eliminates duplicate rows by combining the  rows from two tables into a single result set. In this instance, it  would enable the business to integrate customer information from the  physical and online stores, building a comprehensive customer database  with all available data (Radovanovic, D., 2019).

The “union” operator has several benefits for analysis and data  consistency. First of all, it makes sure that the merged dataset doesn’t  contain any duplicate entries. By removing duplicates, the company  could avoid potential mistakes and inconsistencies if the data were  combined without using the “union” operator. As a result, the dataset  for analysis becomes more accurate and cleaner. Additionally, the  “union” operator makes it simple to identify new clients from both  sources (Radovanovic, D., 2019). The company can identify customers who  have interacted with both the online and physical retail stores by  comparing the combined dataset with the individual datasets from each.  Understanding customer behavior, preferences, and cross-channel  purchasing patterns can be done with the help of this information.

Comprehensive analysis of the customer data is made possible by the  “union” operator. The combined dataset offers a comprehensive view of  customer interactions across various channels, enabling the business to  learn more about the preferences and behavior of its customers. This can  all be aided by creating personalized marketing strategies, enhancing  customer support, and improving product offerings. In integrating  customer data, using the “union” operator to merge two comparable  datasets offers analysis and data consistency benefits. It guarantees  the removal of duplicates, enables customer identification across  various sources, and facilitates thorough customer behavior analysis.  These benefits help the business make more informed decisions and more  precise insights. Rewrite this text for me, going into more detail about  each point.

Radovanovic, D. (2021). Introducing Natural Language Interface to Databases for Data

Driven Small and Medium Enterprises: This paper summarizes significant challenges and

current approaches in constructing Natural Language Interfaces to Databases for data-driven.

small and medium enterprises in Data Science–Analytics and Applications: Proceedings of

the 3rd International Data Science Conference–iDSC2020 (pp. 11-15). Springer Fachmedien

Wiesbaden.

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