Table of Contents
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. |
Which of the following characteristics is common to Pig Hive and JAQL?
Pig, Hive, and Jaql have much in common. They all translate high-level languages into MapReduce jobs so that the programmer can work at a higher level than he or she would when writing MapReduce jobs in Java or other lower-level languages supported by Hadoop using Hadoop streaming.
What is true about Pig and Hive in relation to the Hadoop ecosystem quizlet?
Answer: Pig and Hive are the two key components of the Hadoop ecosystem. There is no simple way to compare both Pig and Hive without digging deep into both in greater detail as to how they help in processing large amounts of data.
What is HDFS designed for?
HDFS is designed to reliably store very large files across machines in a large cluster. It stores each file as a sequence of blocks; all blocks in a file except the last block are the same size. The blocks of a file are replicated for fault tolerance.
What is difference between Pig and Hive in Hadoop?
Apache Hive is a data warehouse and which provides an SQL-like interface between the user and the Hadoop distributed file system (HDFS) which integrates Hadoop….Difference between Pig and Hive :
| S.No. | Pig | Hive |
|---|---|---|
| 2. | Pig uses pig-latin language. | Hive uses HiveQL language. |
| 3. | Pig is a Procedural Data Flow Language. | Hive is a Declarative SQLish Language. |
Which of the following statement most accurately describes the relationship between MapReduce and pig?
Which of the following statements most accurately describes the relationship between MapReduce and Pig? MapReduce jobs via the Pig interpreter. Pig programs rely on MapReduce but are extensible, allowing developers to do special-purpose. processing not provided by MapReduce.
What is the difference between pig and Hive?
1. Pig operates on the client side of a cluster. Hive operates on the server side of a cluster. 2. Pig uses pig-latin language. Hive uses HiveQL language. 3. Pig is a Procedural Data Flow Language. Hive is a Declarative SQLish Language. 4. It was developed by Yahoo.
What is pig in Hadoop?
What is Pig in Hadoop? Pig is a scripting platform that runs on Hadoop clusters, designed to process and analyze large datasets. Pig uses a language called Pig Latin, which is similar to SQL. This language does not require as much code in order to analyze data.
What is Apache Hive?
Apache Hive offers an even more specific and higher-level language, for querying data by running Hadoop jobs, rather than directly scripting step-by-step the operation of several MapReduce jobs on Hadoop. The language is, by design, extremely SQL-like.
What is the use of a hive in Hadoop?
Hive is built on the top of Hadoop and is used to process structured data in Hadoop. Hive was developed by Facebook. It provides various types of querying language which is frequently known as Hive Query Language.