Scenario: A large e-commerce company wants to analyze real-time clickstream data for personalized recommendations. They are considering integrating Hive with Apache Druid. What factors should they consider when designing the architecture for this integration to meet their requirements?
- Data Consistency and Reliability
- Data Volume and Velocity
- Integration Overhead and Maintenance Costs
- Query Complexity and Latency
Integrating Hive with Apache Druid for real-time clickstream analysis requires careful consideration of factors like data volume, query complexity, data consistency, and integration overhead. These factors influence the design and optimization of the architecture to meet the company's requirements for personalized recommendations effectively.
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