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Apache Hive is an open source project run by volunteers at the Apache Software Foundation. Previously it was a subproject of Apache® Hadoop® , but has now graduated to become a top-level project of its own.
Hive allows users to read, write, and manage petabytes of data using SQL. Hive is built on top of Apache Hadoop, which is an open-source framework used to efficiently store and process large datasets. As a result, Hive is closely integrated with Hadoop, and is designed to work quickly on petabytes of data.
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Etcher is a recommended tool to write Hive images on the drives. It supports Windows, Mac, Linux. It can write unpacked ZIP archive as well. Alternatively you can use Rufus as an image writing tool.
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Hive is a data warehouse infrastructure tool to process structured data in Hadoop. It resides on top of Hadoop to summarize Big Data, and makes querying and analyzing easy. This is a brief tutorial that provides an introduction on how to use Apache Hive HiveQL with Hadoop Distributed File System.
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