BIG DATA

Background

Since the automation for data collection and validation started to be implemented in 2018, it requires machine-to-machine interfacing between measurement Tools and integration platform. The common native PMs have their data interface scheduler or Big data ready but some of them still have to direct connection to the OSS database for data reliability reason. Unfortunately, A few of them only have traditional GUI without scheduler that need manual interaction to collect the measurement.

Objective

In this Project the Main Objectives that needs by Telkomsel Directorate. Such as :

  1. Validation Automation: Interpolation Output
  2. Network Performance KPI Monitoring 
  3. Aggregate for KPI Performance Focusing on VAS (Value Added Service)

Vas In Big Data  is the automate process of making all Big Data reports in hourly, daily and monthly reports and displaying these reports in the form of web reports. With Retrieve raw data from data sources automatically using a script, Processing or aggregation of raw data into reports, Display data that has been processed or aggregated in the form of a web / dashboardVas In Big Data  is the automate process of making all Big Data reports in hourly, daily and monthly reports and displaying these reports in the form of web reports.

 

 

With Retrieve raw data from data sources automatically using a script, Processing or aggregation of raw data into reports, Display data that has been processed or aggregated in the form of a web / dashboardVas In Big Data  is the automate process of making all Big Data reports in hourly, daily and monthly reports and displaying these reports in the form of web reports. With Retrieve raw data from data sources automatically using a script, Processing or aggregation of raw data into reports, Display data that has been processed or aggregated in the form of a web / dashboard.