CDR Converter

Business Requirements

Architecture Consolidation for High Performance

Comply with the commitment of the Data Intelligence office to supply information, in a timely manner, to the different internal and external clients of the organization.

Challenges

Delays and inefficiencies in the collection of large volumes of data
Slow writing of data to a database causing process not to finish within the day
Slow and inefficient business rule processing
High infrastructure maintenance costs

Objectives

Improve the performance of the entire process
Provide greater visibility of the data collected and of its quality
Consolidate solution architecture
Replace legacy systems, which have high maintenance costs

Our Solution

Consolidation of Architecture and Business Logics

Reengineering of the architecture for processing consumption records from network elements, in order to deliver information in real time to Big Data technologies.

Main Features

Management of in-memory sessions for application of business rules in real time
Decoding of ASN.1 files with complex structures
Aggregation of long duration calls in single records
Data labeling or enrichment with external information
Distribution to HDFS Cluster through native integration

Benefits

Unification of an architecture composed of multiple systems in a single layer, optimizing configuration and maintenance costs and times, and providing greater speed and transparency to the flow of information.

Real-time processing of large volumes of data, with high performance
Architecture consolidation
Replacing multiple legacy elements with a single platform
Native integration with the HDFS environment