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1_5093978904096407803.mp4 May 2026

DataMiner is the xOps platform built for the Intelligence Era. It unifies data, systems, and workflows across your operational ecosystem — bridging complex infrastructure and automated intelligence to give you real-time visibility and control across your entire operation.

Platform overview Experience our live demo system

DataMiner turns complex operations into intelligent ecosystems for:

Broadcast

Energy & Utility

Satellite

Service Provider

Smart Ecosystems

Defense
DataMiner is used by Al Jazeera DataMiner is used by Deutsche Telekom DataMiner is used by Norkring DataMiner is used by MTV DataMiner is used by Ziggo DataMiner is used by Vodafone DataMiner is used by Voo
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What will DataMiner xOps do for you?​

Fast-track your digital transformation​

Because digital transformation is not a goal by itself, it is a means to an end. It is about making the transition from the digital era to the now quickly emerging data-driven era. It is a transformation, not an evolution. It is about a caterpillar transforming into a butterfly, and to excel at thriving in an entirely new data-driven world.​

Emerge as an Agile data-driven powerhouse​

Because that’s eventually what it is all about. Everything revolves about running your ecosystem better, faster and cheaper. And in the new quickly emerging data-driven era, it all boils down to leveraging data and controls easily, efficiently and securely.​

1_5093978904096407803.mp4

1_5093978904096407803.mp4 May 2026

import cv2 import numpy as np

def generate_thumbnails(video_path, output_folder, intervals=[10, 30, 50, 70, 90]): cap = cv2.VideoCapture(video_path) fps = cap.get(cv2.FPS) frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT)) for interval in intervals: frame_num = int(frame_count * (interval / 100)) cap.set(cv2.CAP_PROP_POS_FRAMES, frame_num) ret, frame = cap.read() if ret: thumbnail_name = f"thumbnail_{interval}.jpg" cv2.imwrite(f"{output_folder}/{thumbnail_name}", frame) cap.release()

# Usage video_path = "path_to_your_video/1_5093978904096407803.mp4" output_folder = "path_to_output_folder" generate_thumbnails(video_path, output_folder)

key features of DataMiner

Transform your data into value

With DataMiner in place, you are equipped to operate with unmatched efficiency and agility, thriving as a fully digitized organization.

Ingest and standardize diverse data sources in DataMiner

awareness

Anomaly detection & proactive alarming

Identify anomalies and predict failures before they impact operations. Minimize downtime and optimize service continuity with AI-powered insights.

Digital twin representation

mapping

Object & relationship mapping

Visualize complex interdependencies across your entire ecosystem. Gain clarity on how assets, people, and processes interact in real time.

Modular architecture of DataMiner

automation

Workflow & process automation

Automate and optimize operations with scheduled, event-driven, or manual triggers. Reduce complexity and improve efficiency with intelligent workflows.

Deliver data and controls to the right users

adaptability

Continuous evolution & empowerment

Adapt, innovate, and scale without limits. DataMiner’s open architecture ensures you stay ahead of changing technologies and market demands.

complete freedom to innovate

Build faster with modular, easy-to-use functions

DataMiner Functions make it easy to create powerful solutions by cherry-picking the building blocks you need. 1_5093978904096407803.mp4

Allowing you to continuously evolve on the fly and provide maximum value for your organization. 1_5093978904096407803.mp4

Discover all DataMiner Functions
Correlation engine
Detect identifiable patterns by relating various events.
Scheduler
Manage a list of scheduled tasks in an automated way.
Performance management
Ensuring activities and outputs align with organizational goals effectively and efficiently.
Service monitoring
Checks the performance of different services and quickly detects and resolves any issues.
Automation engine
Open-architecture, a fully user-definable automation engine.
Resource manager
Off-the-shelf component to streamline & standardize the management of your resources.
Profile manager
Configure complex resources repeatedly and reliably.
Fault management
Detect, isolate and resolve problems.
Proactive cap detection
Detect critical highs and lows in your network before they occur.
Object modeling
Visual representation of software or systems' objects, attributes, actions, and relationships.
Discover all DataMiner Functions

Experience our live demo system

Catch a first glimpse of DataMiner and see for yourself why it's the leading NMS/OSS solution for the ICT media and broadband industry!

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DataMiner east-west overview of a satellite operation, with trend graph overlay

you're in good company

Trusted by 1,000+ companies worldwide. Join industry leaders who rely on DataMiner.

import cv2 import numpy as np

def generate_thumbnails(video_path, output_folder, intervals=[10, 30, 50, 70, 90]): cap = cv2.VideoCapture(video_path) fps = cap.get(cv2.FPS) frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT)) for interval in intervals: frame_num = int(frame_count * (interval / 100)) cap.set(cv2.CAP_PROP_POS_FRAMES, frame_num) ret, frame = cap.read() if ret: thumbnail_name = f"thumbnail_{interval}.jpg" cv2.imwrite(f"{output_folder}/{thumbnail_name}", frame) cap.release()

# Usage video_path = "path_to_your_video/1_5093978904096407803.mp4" output_folder = "path_to_output_folder" generate_thumbnails(video_path, output_folder)

Real-time harmonious data across your entire operation

DataMiner is a proven technology, with an unrivaled catalog of 7000+ connectors for products from over 1000 different vendors.

It’s the fastest growing collection of integrations, trusted by thousands of media and broadband companies worldwide and endorsed by leading tech vendors.

Explore supported integrations
Overview of the DataMiner Catalog with different connectors available to deploy