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Upload the dataset ‘CIS_FacultyList.csv’ into HDFS storage on the cluster to your designated storage space. If the copying is being made from windows instead of linux, one can use WinScp software which acts as a linux platform. Using it one can efficient drag and drop files between windows and linux operating system.
>Hadoop fs –copyFromLocal CIS_FacultyList.csv’
Before copying the csv file to HDFS, it is important to ensure the file is present in Linux local file system.To check if the file is present in the local file system, use the below mentioned command.
2. Use Pig to create new datasets from the source file that categorises the instructors using the following criteria: a. The degree level – Bachelors, Masters or Doctorate b. Number of years of teaching – less than 5 years, or more than 5 years c. Whether the last degree was obtained from North America, ******ope or elsewhere HINT: Consider using the Pig Latin Split (Partition), For each and Group statement constructs.
The above command takes us to the grunt shell where all the pig commands can be executed.
> CIS_Faculty = LOAD 'CIS_FacultyList.csv' USING PigStorage(',') AS (ID:int, Name: chararray, Location:chararray, Grade:chararray, Title: chararray, Join Date:string, LWD: string, Type: chararray, Division: chararray, Reports To: chararray, Highest:chararray, Highest Qualification: chararray, Major: chararray, University:chararray, All Qualifications from Profile: chararray, Courses Taught- Term 201510: chararray, MAJOR TEACHING FIELD: chararray, DOCUMENT OTHER PROFESSIONAL CERTIFICATION CRITIERA Five Years Work Experience Teaching Excellence Professional: chararray, Criteria: chararray);
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