Process data with 1Optic Minerva ETL
High-performance telecom data processing with Minerva ETL
Minerva ETL is 1Optic’s data processing engine for telecom environments. It extracts, transforms and loads large volumes of network data from multiple vendors, domains and systems.For telecom operators, data processing needs to be fast, reliable and scalable. Minerva ETL is built to handle high-volume datasets generated by large numbers of network elements, while keeping the data structured and usable for analysis.The result is a strong data foundation for monitoring, reporting, dashboards, automation and advanced analytics.
Turn raw network data into usable insight
Telecom networks generate large amounts of performance, configuration and fault management data. This data often comes from different vendors, domains, formats and systems. Minerva ETL processes that data and turns it into structured output that can be used for network monitoring, KPI reporting, dashboards, analytics and data science projects. The solution is designed for both large and smaller network environments. Whether you operate a Tier 1 CSP network or a more specific telecom or IoT environment, Minerva ETL provides the speed and flexibility needed to process network data at scale.
Open to all
Minerva ETL is part of the open and modular 1Optic platform. It can integrate with other systems, data warehouses, data lakes, dashboards and third-party solutions. This openness makes Minerva ETL a strong foundation for advanced telecom analytics. Data can be prepared for reporting, exploration, machine learning, AI-driven workflows and end-to-end network analysis. The goal is not to lock data into a closed system. The goal is to make network data available, structured and usable in the places where your teams need it.
Ultra-fast processing
Minerva ETL uses parallel data processing to handle large telecom datasets efficiently and quickly.
Multi-vendor support
The solution processes data from different vendors and domains, making cross-domain integration possible.
High-volume performance
Minerva ETL is built for large datasets generated by complex networks and many network elements.
Open ecosystem
Minerva ETL can integrate with third-party solutions, data warehouses, data lakes and analytics tools.
How Minerva ETL works
A structured ETL process for telecom data
Step 1: Data extraction
Raw data is collected from source locations. This data can be structured or unstructured and can be retrieved through push or pull mechanisms. Extraction can be scheduled, continuous or on demand, depending on the data source and operational requirements.
Step 2: Data transformation
After extraction, the data is transformed into the required output format. This transformation can be aligned with your network structure, reporting needs and key performance indicators. The goal is to create consistent, reliable and usable data for dashboards, analytics and downstream systems. During transformation, Minerva ETL helps standardize data from different vendors, domains and formats.
Step 3: Data Loading
After transformation, Minerva ETL loads the processed data into the target environment, such as a data warehouse, data lake or analytics platform. This can be done batch-driven, continuous or scheduled, depending on the use case. The process is automated and designed to support fast access to processed network data.
“With Minerva ETL we’re able to get insights even quicker than with the equipment vendor’s OSS solution!”
Technical Operator Specialist at tier 1 mobile operator
See us in action
The best way to understand us is to see how it processes telecom data in practice. Book a 1-on-1 and discover how we help your team extract, transform and load high-volume network data for monitoring, reporting, analytics and automation.