Scenario: A financial institution is planning to integrate Hive with Apache Druid to analyze market data in real-time. As a Hive and Druid expert, outline the steps involved in configuring this integration and discuss the implications for query performance and scalability.
- Data Ingestion and Schema Design
- Data Synchronization and Consistency
- Query Optimization and Indexing
- Scalability and Resource Allocation
Configuring Hive integration with Apache Druid for real-time market data analysis involves steps such as data ingestion, schema design, query optimization, and ensuring data synchronization and consistency. These steps are essential for optimizing query performance, ensuring scalability, and maintaining data integrity in financial analysis scenarios.
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