Data Architect (DA) for a rapidly growing company has been asked to analyze performance problems impacting stakeholder operations, dependent upon the companys key MySQL databases. Retail Operations is complaining because they feel that transaction processing times have increased recently, and that the system is slowing down. They suspect that this is related to new features and changes made to the system in order to support reports and ad hoc query capabilities required by Management, and by the Strategic Planning department. At the same time, Managers and members of the Strategic Planning group are pleased with the new reporting and query capabilities of the system, but are complaining that reports take too long to generate, and queries run too slowly. A preliminary report issued by the Database Analyst (DBA) group confirms that transaction throughput has decreased as the data model has been normalized, and indexes were added to support new query and reporting requirements. Further, they note that there are periods of high CPU utilization during times of peak query and report execution, and that this is impacting overall transaction throughputs during high usage periods each day. Explain why the DA should consider a Data Warehouse solution, and how this resolves the competing needs of transaction throughput (OLTP) needs of Retail Operations, and business intelligence requirements (OLAP) of Management and the Strategic Planning group. Be sure to provide details about why tuning a database for high-performance OLTP is antithetical to tuning it for robust OLAP performance