Data Architect (DA) for a rapidly growing company has been asked to analyze perf
ID: 3798249 • Letter: D
Question
Data Architect (DA) for a rapidly growing company has been asked to analyze performance problems impacting stakeholder operations, dependent upon the company’s 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
Explanation / Answer
A data warehouse is a database, which is kept separate from the organization's operational database.
A data warehouse is constructed by integrating data from heterogeneous sources such as relational databases, flat files, etc. This integration enhances the effective analysis of data.
There is no frequent updating done in a data warehouse.
It possesses consolidated historical data, which helps the organization to analyze its business.
A data warehouse helps executives to organize, understand, and use their data to take strategic decisions.
Data warehouse systems help in the integration of diversity of application systems.
A data warehouse system helps in consolidated historical data analysis.
A data warehouse is kept separate from the operational database and therefore frequent changes in operational database is not reflected in the data warehouse.
OLTP Vs. OLAP performance tuning
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