Apache Hive Interview Question -Programming, Scenario-Based, Fundamentals, Performance Tuning based Question and Answer
Sub Category
- Software Development Tools
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Objectives
- Fundamentals of Hive architecture, table types, partitions, and bucketing
- Hive query optimization techniques including dynamic partitioning, joins, cost-based optimization, and predicate pushdown
- File formats and SerDe (ORC, Parquet, RegexSerDe) and their performance impact
- Integration of Hive with Hadoop ecosystem tools like Spark, Kafka, HBase, Flink, and BI platforms
- Advanced Hive features such as ACID transactions, LLAP, vectorized queries, and schema evolution
- Hive security, authentication, and access control best practices
- Scenario-based interview questions on troubleshooting, query tuning, and debugging
- Best practices for scalable Hive design and handling large datasets efficiently
Pre Requisites
- Basic understanding of SQL and Hadoop concepts
- Prior exposure to Hive is helpful but not mandatory; the course starts with fundamentals and builds up to advanced topics
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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