Retail store, Kluang Best Bestari (KBB) wants to implement a data warehousing solution. By implementing this,...

 

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Retail store, Kluang Best Bestari (KBB) wants to implement a data warehousing solution. By implementing this, retail stores can provide a centralized repository for their sales data. The store can then access and analyze this data to understand their customers' buying patterns, the most popular products, and sales trends over time. As a Data Scientist in this company, you are tasked with doing that analysis for top management. Given the data source for this database is the sales transaction records stored in the retail store's point-of-sale (POS) system. To analyze the data, you can follow the following steps: 1. Create the database with the appropriate name. 2. Design the data warehouse schema in a format that is optimized for analysis. The schema includes the following tables: i. ii. iii. Customers Products Sales 3. Determine the data integration and transformation requirements: Determine what data needs to be integrated. i. ii. iii. How the data will be transformed to fit the data warehouse schema. What data quality checks need to be performed. 4. Choose the appropriate data warehousing platform to implement the data warehousing solution. 5. Implement the data warehousing solution: i. ii. iii. 6. Prepare a report that documents all the steps involved. Set up the data warehousing platform. Design and build the ETL processes. integrate the sales data from the POS system into the data warehouse. Retail store, Kluang Best Bestari (KBB) wants to implement a data warehousing solution. By implementing this, retail stores can provide a centralized repository for their sales data. The store can then access and analyze this data to understand their customers' buying patterns, the most popular products, and sales trends over time. As a Data Scientist in this company, you are tasked with doing that analysis for top management. Given the data source for this database is the sales transaction records stored in the retail store's point-of-sale (POS) system. To analyze the data, you can follow the following steps: 1. Create the database with the appropriate name. 2. Design the data warehouse schema in a format that is optimized for analysis. The schema includes the following tables: i. ii. iii. Customers Products Sales 3. Determine the data integration and transformation requirements: Determine what data needs to be integrated. i. ii. iii. How the data will be transformed to fit the data warehouse schema. What data quality checks need to be performed. 4. Choose the appropriate data warehousing platform to implement the data warehousing solution. 5. Implement the data warehousing solution: i. ii. iii. 6. Prepare a report that documents all the steps involved. Set up the data warehousing platform. Design and build the ETL processes. integrate the sales data from the POS system into the data warehouse.

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Solution Data Integration and Transformation Requirements for KBB Data Warehouse Data to be integrated Sales transaction records from the POS system Data transformation Convert the data to a consisten... View the full answer