Scenario: A company is planning to deploy Hive for its data analytics needs. They want to ensure high availability and fault tolerance in their Hive setup. Which components of Hive Architecture would you recommend they focus on to achieve these goals?
- Apache Spark, HBase
- HDFS, ZooKeeper
- Hadoop MapReduce, Hive Query Processor
- YARN, Hive Metastore
To ensure high availability and fault tolerance in a Hive setup, focusing on components like HDFS and ZooKeeper is crucial. HDFS replicates data across nodes, ensuring availability, while ZooKeeper manages configurations and maintains the availability of services like NameNode and Hive metastore. These components form the backbone of fault tolerance and high availability in a Hive deployment, laying the foundation for a robust analytics infrastructure.
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