Technical monitoring of the mobile operator’s network

Build a cost-efficient system with massively parallel processing architecture (MPP) on the Apache Hadoop HDP/HDF platform.

We built an MPP system for statistical data collection and analytics.
We utilised the following tools:

• Storage based on the HDP platform – Hadoop Data Platform (open-source software under the Apache license)
• Real-time data collection based on the HDF (NiFi) platform – Hadoop Data Float (open-source software under the Apache license)
• A data virtualization layer – TIBCO Data Virtualization was also added to the architecture to address the issues of multi-channel data integration and holistic representation of data stored in varied sources.

Multi-channel integration and holistic data presentation with Tibco Data Virtualization tools.
Linear scalability of data storage capacities based on the Dell/EMC Isilone object-oriented storage technology, cutting down the response time to 1-5 seconds.