The main utility of Hive is that it enables analysts to write SQL-like commands. You write commands in SQL, and Hive translates them into MapReduce code.
Apart from this, there are some other significant features of Hive such as queries which can be run, built-in features and types of data which can be processed. Our industry expert Shakun will explain them.
Processing Unstructured Data
One the most common problems encountered while dealing with big data or the Hadoop ecosystem is processing large volumes of unstructured loge.
To summarise, the main features of Hive are —
- An SQL-like interface to write queries on large datasets.
- Hive can be used to process all variants of data i.e. Structured, Semi-structured and Unstructured.
- A variety of built-in functions for working with data, strings, etc.; and.
- Easy ETL (extraction, transformation, and loading) of data.