Mar 30, 2021
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Completed

Technical Monitoring of the Mobile Operator’s Network

$10,000+
7-12 months
Ukraine, Kiev
10+
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Service categories
Types of Services
IoT Development
Domains
Telecommunications
Solution type
SaaS
IoT
Frameworks
Hadoop

Challenge

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

Solution

To build an MPP system for statistical data collection and analytics, the following distributions were utilized: 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.

Results

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, along with the increased response speed up to 1-5 seconds.
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, along with the increased response speed up to 1-5 seconds.