We can easily summarize Hive because:
- A Data Warehouse Infrastructure
- Definer of a Query Language popularly popularly referred to as HiveQL (much like SQL)
- Provides all of us along with numerous tools with regard to simple extraction, transformation as well as loading associated with data.
- Hive enables it's customers in order to embed customized mappers as well as reducers.
- Operating-System: OS Independent.
Apache Hive will be the data warehouse to the Hadoop ecosystem. That permits people to be able to query as well as manage big data utilizing HiveQL, the language which is comparable to SQL.
The Apache Hive data warehouse software allows for querying as well as controlling large datasets residing within distributed storage. Hive provides a mechanism in order to project framework on to this particular information as well as query the data using a SQL like language known as HiveQL. Simultaneously this language additionally enables traditional map/reduce programmers in order to connect within their user mappers as well as reducers when it's inconvenient or even inefficient expressing this particular logic within HiveQL.
Hive is comparable to the SQL User interface within Hadoop. The actual data that's stored within HBase component of the Hadoop Ecosystem could be utilized via Hive. Hive is actually associated with great use of with regard to developers who're not well-versed using the MapReduce framework with regard to composing data queries which are transformed into Map Reduce work within Hadoop.
We can consider Hive like a Data Warehousing package that's constructed along with top of Hadoop with regard to analyzing huge amounts of data. Hive is mainly developed with regard to users who are comfortable within utilizing SQL. The best thing about Hive is that it conceptualizes the complexity associated with Hadoop since the customers do not need to write MapReduce programs when utilizing Hive therefore anyone who is not familiar with Java Programming as well as Hadoop API’s may also help to make the very best utilization of Hive.
What makes Hive Hadoop popular?
- Hive Hadoop provides users along with powerful as well as effective statistics functions.
- Hive Hadoop is much like SQL, therefore for just about any SQL developer the learning curve with regard to Hive will almost be negligible.
- Hive Hadoop has gained popularity because it will be reinforced simply by Hue.
- Hive Hadoop provides different user groups for instance CNET, Last.fm, Facebook, and Digg etc.