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Discussion: "Optimization for Transactional Processing" Please respond to the following:
• Databases can grow in data structure and data capacity throughout time. At certain times, it is necessary to perform optimization techniques in order to ensure optimal performance of the database. Evaluate at least two methods that can be used to optimize database components such as queries, reports SQL transaction processing, and data consumption. Provide a real-world example that explains how these methods would help an organization process a large number of online transactions within a short time span.
• Suggest at least two SQL optimization techniques that can be used to enhance the data access turnaround time and transaction processing time. Provide examples to support your response.
• Assess the database statistics that could be used in order to measure database performance. Provide a real-world example that demonstrates how this information would enable businesses to accurately scale its data processing requirements.
Create a database model and Submit the table creation statements for the Database Model.
Write PL/SQL procedures and functions to populate and query that database
Write a query to display using the employees table the EMPLOYEE_ID, FIRST_NAME, LAST_NAME and HIRE_DATE of every employee who was hired after to 1 January, 1995.
Run the lab_03_01.sql script in the attached file to create the SAL_HISTORY table. Display the structure of the SAL_HISTORY table.
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Write summary query which uses CUBE operator to return LineItemSum (which is the sum of InvoiceLineItemAmount) group by Account(an alias for AccountDesciption).
As DBA, your manager called a meeting and asked why there are so many orders for customers that don't exist in the customer table. Write query which would shows which customers were missing for existing orders. Use a join or a subquery.
Turn this SQL query into a relational algebra statement? SELECT Request.reqfor, Ordering.invamt, Ordering.invnbr, Ordering.invdat
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