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.