Integrating Data from Multiple Sources

Assume the role of a data management expert and provide a detailed framework for integrating datasets from multiple sources into a cohesive analysis strategy. Include steps for identifying key data attributes, preprocessing methods for consistency, techniques for joining datasets, and troubleshooting common challenges such as missing or conflicting data. Explain how to ensure data integrity and accuracy throughout the process, and suggest tools or technologies that can facilitate each step. Tailor the guidance for someone working with structured data in databases and spreadsheets, and provide examples of best practices for data integration.