Process data with 1Optic Minerva ETL
Extract, transform and loat network data at game-changing speeds.
Several massive networks rely on 1Optic Minerva ETL for data processing. Why? Because our ETL solution is not only lightning-fast, it also handles virtually any amount of data, generated by hundreds of thousands of network elements.
Data processing for big and smaller networks
Minerva ETL processes multi-vendor performance, configuration, and fault management data with ease. Network-wide. For our ETL solution, size and performance are no issue. Whether you’re a Tier 1 CSP or operate a smaller network, Minerva ETL delivers at revolutionary speed. Don’t need the entire platform? Just pick what you need and save money.
Open to all
Want to integrate other systems and solutions? Of course. That’s why Minerva is open. And the platform’s modularity makes it the excellent base for building an advanced data analytics tool. Roll out advanced machine learning algorithms, create AI purposes and start innovating!
Ultra fast
Ultra-fast parallel data processing.
Multi-vendor
Vendor agnostic, cross domain data integration.
High-performance
High-performance large dataset processing.
Open ecosystem
Open integration with third-party solutions.
As easy as 1-2-3..
How Minerva ETL works
Step 1: Data extraction
Raw data moves from data source locations, either structured or unstructured, push or pull, scheduled or on-demand.
Step 2: Data transformation
The data is transformed to the desired output format, in accordance with your Key Performance Indicators. Minerva ETL carries out the following tasks.
Step 3: Data Loading
Minerva ETL loads all the data changes batch-driven into the target data warehouse / data lake. A fully automated process, at real-time speeds, continuous or scheduled if necessary.
“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
Try the demo.
The proof of the pudding... See for yourself what 1OPTIC can do for you.