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Data Science And Big Data Analytics.edited

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Data Science and Big Data Analytics
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How are PIGs-script, Apache-Pig, Hive, and Impala in Data Science and Big Data
Analytics are applicable at the Information Technology workplace?
Apache pig is an abstraction over the Map-Reduce used in the analysis of large data sets.
When used in Hadoop, Apache-Pig is used in processing all data manipulations that are taking
place (Dolezel & McLeod, 2019). Pig Latin, which is a high language, is provided by Apache
Pig used in the data analysis programs. Pig Latin language is essential since it allows for various
operations that the programmers can use to develop their functions that will be used in the
processing of data, reading, and writing. Programmers are required to write a script by using Pig
Latin Language while analyzing data by use of Apache Pig. These scripts end up reducing tasks
by being internally converted to Map. Pig Engine is a component in Apache Pig that is known to
be accepting the pig Latin Scripts inform of inputs which are then converted into Map Reduce
jobs.
Apache Pig has been a boon to all programmers who have not been good at Java and used
to be struggling while working with Hadoop, more so when they are doing operations on any
Map-Reduce tasks. This means that programmers can perform Map-reduce tasks with Pig Latin
without having complex codes in Java. By using a multi-query approach, Apache pig is known to
reduce the length of codes (Demchenko, 2019). For instance, Apache Pig can be used in typing
less than ten LoC lines on an operation that would be required to be typed 200 lines of the code
in Java. This indicates that Apache Pig reduces the development time of Java by almost 16 times.
By being familiar with Pig Latin, an SQL Like language, one gets it easier to learn about Apache
Pig. Data operations are also supported by the Apache Pig, which provides many inbuilt
operations. Supported data operations include ordering, joins, and filters. Additionally, Apache

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1 Data Science and Big Data Analytics Name of the Student Name of the Supervisor Course Date 2 How are PIGs-script, Apache-Pig, Hive, and Impala in Data Science and Big Data Analytics are applicable at the Information Technology workplace? Apache pig is an abstraction over the Map-Reduce used in the analysis of large data sets. When used in Hadoop, Apache-Pig is used in processing all data manipulations that are taking place (Dolezel & McLeod, 2019). Pig Latin, which is a high language, is provided by Apache Pig used in the data analysis programs. Pig Latin language is essential since it allows for various operations that the programmers can use to develop their functions that will be used in the processing of data, reading, and writing. Programmers are required to write a script by using Pig Latin Language while analyzing data by use of Apache Pig. These scripts end up reducing tasks by being internally converted to Map. Pig Engine is a component in Apache Pig that is known to be accepting the pig Latin Scripts inform of inputs which are then converted into Map Reduce jobs. Apache Pig has been a boon to all programmers who have not been good at Java and used to be struggling while working with Hadoop, more so when they are doing operations on any Map-Reduce tasks. This means that programmers can perform Map-reduce tasks with Pig Latin without having complex codes in Java. By using a multi-query approach, Apache pig is known to reduce the length of codes (Demchenko, 2019) ...
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