- 1 What is the necessity of Pig Latin?
- 2 What is the primary purpose of Pig in the Hadoop architecture?
- 3 What is the main idea behind the development of Pig programming language?
- 4 What is the default mode of Pig?
- 5 What describes Apache Pig best?
- 6 What are the advantages and disadvantages of Pig and Hiveql?
- 7 What is Pig explain its usage modes?
- 8 Why pig is better than MapReduce?
- 9 How is pig different from MapReduce?
What is the necessity of Pig Latin?
To write data analysis programs, Pig provides a high-level language known as Pig Latin. This language provides various operators using which programmers can develop their own functions for reading, writing, and processing data.
What is the primary purpose of Pig in the Hadoop architecture?
A) Pig is a high-level scripting language that is used with Apache Hadoop. Pig enables data workers to write complex data transformations without knowing Java.
What is the main idea behind the development of Pig programming language?
Evolution of Pig: Earlier in 2006, Apache Pig was developed by Yahoo's researchers. At that time, the main idea to develop Pig was to execute the MapReduce jobs on extremely large datasets.
What is the default mode of Pig?
MapReduce Mode It is the default mode. In this Pig renders Pig Latin into MapReduce jobs and executes them on the cluster. It can be executed against semi-distributed or fully distributed Hadoop installation.
What describes Apache Pig best?
Apache Pig is a platform, used to analyze large data sets representing them as data flows. It is designed to provide an abstraction over MapReduce, reducing the complexities of writing a MapReduce task using Java programming. We can perform data manipulation operations very easily in Hadoop using Apache Pig.
What are the advantages and disadvantages of Pig and Hiveql?
They enable enterprises to process and analyze a great amount of data without writing complex MapReduce code. But, when to use Pig and Hive is the question most people have….Differences Between Pig and Hive.
|Operates on the client-side of a cluster.||Operates on the server-side of a cluster.|
•Oct 13, 2021
What is Pig explain its usage modes?
Apache Pig scripts can be executed in three ways, namely, interactive mode, batch mode, and embedded mode. Interactive Mode (Grunt shell) − You can run Apache Pig in interactive mode using the Grunt shell. … Batch Mode (Script) − You can run Apache Pig in Batch mode by writing the Pig Latin script in a single file with .
Why pig is better than MapReduce?
Pig is an open-source tool that is built on the Hadoop ecosystem for providing better processing of Big data. It is a high-level scripting language that is commonly known as Pig Latin scripts….Difference between MapReduce and Pig:
|1.||It is a Data Processing Language.||It is a Data Flow Language.|
•Jan 3, 2021
How is pig different from MapReduce?
Pig is a scripting language used for exploring large data sets. … As Pig is scripting we can achieve the functionality by writing very few lines of code. MapReduce is a solution for scaling data processing. MapReduce is not a program, it is a framework to write distributed data processing programs.