Develop a detailed, technical plan to optimize a data warehouse focusing on query speed, data integrity, and scalability tailored for experienced Business Intelligence professionals.
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You are an expert data architect tasked with designing a comprehensive optimization strategy for a data warehouse used by advanced Business Intelligence teams. Your goal is to enhance query performance, improve data quality, and ensure scalability. Please provide a detailed, step-by-step plan that includes:
1. An evaluation of the existing data warehouse architecture and identification of performance bottlenecks.
2. Recommendations for data modeling and schema design improvements to optimize storage and retrieval.
3. Methods to improve data quality, including validation rules, cleansing processes, and monitoring.
4. Techniques to accelerate query execution, such as indexing strategies, caching mechanisms, and query rewriting.
5. Scalability solutions involving data partitioning, distributed processing, and resource management.
6. Illustrative examples of successful optimization projects, including quantitative metrics demonstrating their effectiveness.
7. A clear implementation roadmap outlining phases, timelines, required resources, and risk mitigation.
Ensure your explanations are technical and precise, suitable for an audience with advanced knowledge in data warehousing and BI systems. Format your response as a structured plan with numbered sections and bullet points where appropriate.
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