Answer : Apache hive is a distributed query…
Accenture interview questions and answers
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Answer : Hadoop is an open source software stack that runs on a cluster of machines
Answer : Partitioning is the optimization technique in Hive which improves the performance significantly.
Answer : Hue has a Web SQL Editor with autocomplete, display of table/data samples, light graphing, query download
Answer : Here,based on the requirement especially how typically your data gets updated, volume and architecture.
Answer : Partitioning data is used for distributing load horizontally, helps to organizing data in a very logical fashion.
Answer : Functionality to write & run multiple queries concurrently for the same user in the same session it used Hive, Impala
Answer : By doing compression at various phases (i.e. on final output, intermediate data),we achieve performance improvement in Hive Queries.
Answer : Hive is often used as the interface to an Apache Hadoop based data warehouse
Answer : The outline of the database schema typically change by SQL statements they are creating, deleting
Answer : It does not contains default values, the normal way to handle null values by using the combine function
Answer : The logical group of keys, subkeys, and values in the registry that has a set of supporting files containing backups of its data is called as Hive.
Answer : It stores the metadata for Hive tables,it separates in relational database
Answer : HiveServer – It allows a remote client to submit requests to Hive, using a programming languages, and results.
Answer : Data Hive is a data warehouse software project built on top of Apache Hadoop for providing query, and analysis.