You are developing a real-time analytics dashboard that requires aggregation of data from multiple tables. How can you optimize the queries to ensure minimum latency in displaying the results?
- Use caching mechanisms
- Opt for synchronous queries to ensure real-time data
- Optimize database indexes
- Use a single table to store all data
To ensure minimum latency in a real-time analytics dashboard, using caching mechanisms is essential. Caching can store frequently used aggregated data and serve it quickly, reducing the need for complex queries. Options B and D do not align with best practices for real-time analytics. Option C is a good practice but not as directly related to real-time performance as caching.
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