Apache Hive Interview Question and Answer (100+ FAQ)

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Apache Hive Interview Question -Programming, Scenario-Based, Fundamentals, Performance Tuning based Question and Answer

By attending this course you will get to know frequently and most likely asked Programming, Scenario based, Fundamentals, and

Performance Tuning based Question asked in Apache Hive Interview along with the answer

This will help Apache Hive Career Aspirants to prepare for the interview.

During your Scheduled Interview you do not have to spend time searching the Internet for Apache Hive interview questions.

We have already compiled the most frequently asked and latest Apache Hive Interview questions in this course.

Apache Hive Interview Questions has a collection of 100+ questions with answers asked in the interview for freshers and experienced (Programming, Scenario-Based, Fundamentals, Performance Tuning based Question and Answer). This course is intended to help Apache Hive Career Aspirants to prepare for the interview.

We are planning to add more questions in upcoming versions of this course.

The Apache Hive data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage. A command line tool and JDBC driver are provided to connect users to Hive.

Course Consist of the Interview Question on the following Topics

  • Hive Tutorial
  • Hive SQL Language Manual: Commands, CLIs, Data Types,
    DDL (create/drop/alter/truncate/show/describe), Statistics (analyze), Indexes, Archiving,
    DML (load/insert/update/delete/merge, import/export, explain plan),
    Queries (select), Operators and UDFs, Locks, Authorization
  • File Formats and Compression: RCFile, Avro, ORC, Parquet; Compression, LZO
  • Procedural Language: Hive HPL/SQL
  • Hive Configuration Properties
  • Hive Clients
    • Hive Client (JDBC, ODBC, Thrift)
    • HiveServer2: Overview, HiveServer2 Client and Beeline, Hive Metrics
  • Hive Web Interface
  • Hive SerDes: Avro SerDe, Parquet SerDe, CSV SerDe, JSON SerDe
  • Hive Counters

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