Data Lake and CDR Mediation

We help our customer, one of the biggest Cellular Operators in Indonesia improve their end-to-end Business Intelligence architecture as well as data quality of reporting to address some pain points:

  • Existing ETL process is inefficient in processing large volume of data in more frequent batches. In addition to it’s inability to process unstructured data, the licenses are expensive.
  • Reporting is depending too much on Mediation System and any problems occurring in Mediation will impact ETL, Datawarehouse and Enterprise Reporting. Mediation is a hop that slows down the overall process.

Use Case

  • Data Lake
  • CDR Inquiry
  • Mediation
  • Legacy Offload

Benefit

For Business

  • Provide faster report to adapt the market
  • Allow faster customer service
  • Cost efficiency

Technically

  • More data type available
  • Scalable platform to grow the business
  • Real-time access to data
  • Lower cost of HW, SW and resources with more data
  • No dependency to Hadoop Distribution
  • More adaptable with user requirement

Tehnology

  • Hadoop
  • HBase
  • Hive
  • HGrid247
  • Impala
  • ASN.1
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