Discuss the architecture considerations when deploying Hive with Apache Druid for large-scale data processing.
- Data ingestion and storage optimization
- Query optimization and indexing
- Real-time analytics integration
- Scalability and fault tolerance
Deploying Hive with Apache Druid for large-scale data processing requires careful consideration of architecture aspects such as data ingestion and storage optimization, query optimization and indexing, scalability, fault tolerance, and integration for real-time analytics, ensuring efficient and reliable processing of massive datasets.
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