Table of Contents
For what purpose pig is used?
Pigs are found and raised all over the world, and provide valuable products to humans, including pork, lard, leather, glue, fertilizer, and a variety of medicines. Most pigs raised in the United States are classified as meat-type pigs, as they produce more lean meat than lard, a fat used in cooking.
Where can you use hive and not Pig?
1. Pig operates on the client side of a cluster. Hive operates on the server side of a cluster.
Who uses hive?
Who uses Apache Hive?
| Company | Website | Company Size |
|---|---|---|
| Lorven Technologies | lorventech.com | 50-200 |
| Zendesk Inc | zendesk.com | 1000-5000 |
What are the drawbacks of pig?
b. Limitations of Apache Pig
- Errors of Pig.
- Not mature.
- Support.
- Minor one.
- Implicit data schema.
- Delay in execution.
What are the disadvantages of pig?
Viral Disease Pork can become contaminated during slaughter, improper handling, leaving meat out for more than two hours or not cooking it long enough. Cooking is needed to destroy bacteria, but refrigeration slows the growth of bacteria. Resistant bacteria are another disadvantage of pork. Resistant strains of E.
Why pig farm is important?
The advantages of the pig farming are : 1. The pig has got highest feed conversion efficiency i.e. they produce more live weight gain from a given weight of feed than any other class of meat producing animals except broilers. grains, forages, damaged feeds and garbage and convert them into valuable nutritious meat.
What is the goal of having both hive and hivepig?
Pig sits on top of Hadoop and in principle can also sit on top of Dryad. I might be wrong but Hive is closely coupled to Hadoop. Both Pig Latin and Hive commands compiles to Map and Reduce jobs. My question – What is the goal of having both when one (say Pig) could serve the purpose.
What is the difference between Apache Hive and Apache Pig?
In Hive, there is a declarative language called HiveQL which is like SQL. In Pig, there is a procedural language called Pig Latin. b. Mainly Used for Mainly, data analysts use Apache Hive. Mainly, researchers and programmers use Apache Pig. Basically, Hive allows structured data. However, Apache Pig allows both structured and semi-structured data.
What is the difference between hive component and pig component?
Basically, Hive component operates on a server side of the cluster. However, Pig server operates on the client side of the cluster. e. ETL (Extract-Transform-Load)
Is hive good for ad hoc data analysis?
Good for ad-hoc analysis. Hive can be used for ad-hoc data analysis but it can’t support all un-structured data formats unlike PIG. Consider that you work with RDBMS and have to select what to use – full table scans, or index access – but only one of them.