This feature enables a Data Scientist to create a job and run custom analytical models by uploading the required libraries and the input raw data file

Note : Source code for this job will be referred from the published custom job model

This feature enables a Data Scientist to execute a Job by passing dynamic parameters

In the Job Management Module, a Data Scientist can :

  • Create Job by using the published model.
  • Edit the Job
  • List the Jobs
  • Run the Job
  • Data Scientist can use the API End point to consume it in any of their custom jobs.

Steps to create a Job

Path : Data Analytics >> Jobs Management


  • Click on Data Analytics in the Main menu


  • Click on Jobs Management button to see the Jobs Management List Page as shown below


  • Click on + to add/create a job shown below


  • Select a Model as shown below

    • Note : Only Published Models are populated in the drop down list as shown above .To know more about Publishing Models refer Analytics Model Management

  • Enter Job Parameters as shown below



    • User can Edit Job Parameter as shown below


    User can Add Multiple Job Parameters as shown below


  • Click on Upload Library and Input Data File buttons to upload the Python libraries and the input file as shown below


  • Click on Save Job to save the configurations as shown below


    • Post saving the configuration, the job will be listed as shown below


Job Management List


Job Management List Page contains the following attributes

Job Name : Specifies the name of the Job

Description : Describes the Job as per the description provided by the Data Scientist in Add/Create section

Last Modification Date : Specifies the most recent modification made on the specific job

Last Modified by : Specifies the last user who has

Model Name : This field populates a list of Custom Models published in the Analytical Model Management Section as shown below

Actions : This icon enables the user to :

  • Access API URL : User will be able to retrieve the following information by clicking the API URL icon as shown below
    • API URL
    • API Method
    • Headers
    • Content-Type
    • Payload



  • Run Job: Click on the Play button to run the job as shown below

  • Edit Job : Enables the user to view
    • Last Updated Library Path
    • Last Updated Input File Path


    It also enables the user to edit the following information such as :


    • Key Value Pair : Modify the existing key value pair for the specific Job
    • Upload Library : Add new libraries to the existing libraries
    • Upload Input Data File : Upload input files
    • Description : Update Job Description


  • Delete Job


5. List of Job Details


       User will be able to :

  • View Job Name
  • View Job Run Id
  • View Start Time
  • View End Time
  • View Status
  • Download Output File

Click on Job name in the Jobs Management List as shown below


Post click , a pop up appears to display the list of Job Details as shown below


Click on Download Output File icon to download the output file as shown below