- Big Data Analytics with Hadoop 3
- Sridhar Alla
- 183字
- 2021-06-25 21:26:10
Hive
Hive provides a SQL layer abstraction over the MapReduce framework with several optimizations. This is needed because of the complexity of writing code using the MapReduce framework. For example, a simple count of the records in a specific file takes at least a few dozen lines of code, which is not productive to anyone. Hive abstracts the MapReduce code by encapsulating the logic from the SQL statement into a MapReduce framework code, which is automatically generated and executed on the backend. This saves incredible amounts of time for anyone who needs to spend more time on doing something useful with the data, rather than going through the boiler plate coding for every single task that needs to be executed and every single computation that's desired as part of your job:

Hive is not designed for online transaction processing and does not offer real-time queries and row-level updates.
In this section, we will look at Hive and how to use it to perform analytics, https://hive.apache.org/downloads.html:

Click on the download link to see the various downloadable files as shown in the following screenshot:

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