How to use /SCMB/PB_NLQ_DET - Déterminer QNC via donn. aléatoires


SAP Transaction Code - Details

  • Transaction Code: /SCMB/PB_NLQ_DET

    Description: Déterminer QNC via donn. aléatoires

    Release: S/4HANA only

  • Show technical details Hide technical details
    • Program: /SCMB/PB_FOOTPRINT_DET

      Screen: 1000

      Authorization Object:

    • Development Package: /SCMB/PB_FOOTPRINT

      Package Description: Package Builder Footprint

      Parent Package: /SCMB/PB

    • Module/Component: SCM-BAS-PAK-PB

      Description: Package Building


Smart SAP Assistant

  • SAP Tcode: /SCMB/PB_NLQ_DET - Déterminer QNC via donn. aléatoires
    
    Overview:
    
    The SAP transaction code /SCMB/PB_NLQ_DET is used to determine the NLQ (Non-Linear Quantization) based on random data. NLQ is a type of data compression technique used to reduce the size of a file without losing any of its content. This transaction code is used to determine the NLQ based on random data, which can then be used for further processing. 
    
    Functionality:
    
    The /SCMB/PB_NLQ_DET transaction code is used to determine the NLQ based on random data. This transaction code takes in a set of random data and then uses an algorithm to determine the NLQ that best fits the data. The NLQ is then used for further processing, such as compressing the data or creating a new file. 
    
    Step-by-step How to Use:
    
    1. Enter the transaction code /SCMB/PB_NLQ_DET into the command field in SAP. 
    2. Enter the random data into the input field. 
    3. Click “Execute” to run the algorithm and determine the NLQ that best fits the data. 
    4. The NLQ will be displayed in the output field. 
    5. Use this NLQ for further processing, such as compressing the data or creating a new file. 
    
    Other Recommendations:
    
    It is recommended that users familiarize themselves with NLQ before using this transaction code, as it will help them understand how it works and how to use it effectively. Additionally, users should ensure that they have entered accurate and valid random data into the input field before running the algorithm, as this will ensure that they get an accurate result.
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