Scenario: A large enterprise wants to implement real-time analytics using Hive and Apache Kafka. As a Hive architect, outline the steps involved in setting up this integration and discuss the considerations for ensuring high availability and fault tolerance.

Setting up real-time analytics with Hive and Apache Kafka involves several steps, including integration setup, data ingestion optimization, monitoring, and resource scaling. Ensuring high availability and fault tolerance requires clustering, replication, and fault recovery mechanisms. By addressing these aspects comprehensively, organizations can achieve reliable and efficient real-time analytics capabilities.