Where are Pig and Hive used?
Where are Pig and Hive used?
Difference between Pig and Hive
- Pig : Pig is used for the analysis of a large amount of data. It is abstract over MapReduce.
- Hive : Hive is built on the top of Hadoop and is used to process structured data in Hadoop. Hive was developed by Facebook.
How do I access Hive data?
Paste the jar files of the driver in the appropriate folder.
- Create a new folder called Big Data.
- Right-click on the Big Data folder and select New > Data source > JDBC.
- Name the data source hive_ds.
- Select Hive 2.0.
- Fill in the login and password fields, as needed.
- Click and then Create base view.
What is hive and how do you different with pig?
Pig vs Hive – Differences
| Pig | Hive |
|---|---|
| Procedural Data Flow Language | Declarative SQLish Language |
| For Programming | For creating reports |
| Mainly used by Researchers and Programmers | Mainly used by Data Analysts |
| Operates on the client side of a cluster. | Operates on the server side of a cluster. |
Where is Hive table located?
Hive stores tables files by default at /user/hive/warehouse location on HDFS file system. You need to create these directories on HDFS before you use Hive. On this location, you can find the directories for all databases you create and subdirectories with the table name you use.
Where is hive data stored?
The data loaded in the hive database is stored at the HDFS path – /user/hive/warehouse. If the location is not specified, by default all metadata gets stored in this path.
What is Hive in big data analytics?
Apache Hive is an open source data warehouse software for reading, writing and managing large data set files that are stored directly in either the Apache Hadoop Distributed File System (HDFS) or other data storage systems such as Apache HBase.