Telecom Data Fabric brings telecom data management and analytics together through a common control plane and a data mesh architecture. Google Cloud currently offers the service in private preview.
What Is Telecom Data Fabric?
Telecom Data Fabric accelerates telecom data management and analytics with an automated approach that leverages multiple Google Cloud data and AI/ML products. The goal is to democratize data and governance so that communication service providers and ISVs can innovate, build analytical applications, and drive automation more easily.
The service provides faster data accessibility using a set of APIs and centralizes governance to preserve data sovereignty and privacy.
Core Features
- Common control plane: Eliminates the collection of disparate data coming from a multitude of products and simplifies data migration to the cloud
- Pre-built data adapters: Normalize and correlate data across multi-vendor deployments
- Unified, reusable data models: Harmonize data for consumption across stakeholders
- Data mesh architecture: Highly flexible deployment models adapted to telecom network organizations
- Control loops: Integration with network elements, NOC, customer care, incident management, and OSS/BSS
Typical Use Cases
Unified Data from Edge to Cloud
A centralized data governance model for data from the telecom network, so data can be curated and operationalized quickly.
Faster Paths to High-Value Data
Normalization and correlation across multi-vendor deployments using pre-built adapters.
AI-Enabled Analysis in the Developer Ecosystem
Provide reusable, high-value data to your developer ecosystem as the basis for more predictive applications.
Autonomous Network Operations
Automated and highly configurable network deployments whose control loops integrate with existing operational systems.
Benefits
- Fewer data silos: A common control plane instead of product-specific data collection
- Reusable models: Harmonized data models simplify consumption across teams
- Governance at the center: Centralized governance to preserve data sovereignty and privacy
- Connectable: Data access through APIs for your own and partner applications
Integration with innFactory
As a certified Google Cloud partner, innFactory supports you with Telecom Data Fabric: assessing its fit at private preview stage, designing the data models, and connecting to existing OSS/BSS landscapes.
Typical Use Cases
Technical Specifications
Frequently Asked Questions
What is Telecom Data Fabric?
According to Google Cloud, Telecom Data Fabric accelerates telecom data management and analytics with an automated approach that leverages multiple Google Cloud data and AI/ML products. The goal is to democratize data and governance, improving the ability of communication service providers and ISVs to innovate, build analytical applications, and drive automation.
What launch stage is Telecom Data Fabric in?
Google Cloud states on the product page that Telecom Data Fabric is currently offered in private preview. For pricing or more information, Google Cloud refers to sales.
How is data from different sources brought together?
Pre-built data adapters normalize and correlate data across multi-vendor deployments. Data is harmonized into a set of unified reusable models to simplify consumption across stakeholders.
What is the role of the data mesh architecture?
According to Google Cloud, the data mesh architecture enables highly flexible deployment models adapted to telecom network organizations. Together with a common control plane, it eliminates the collection of disparate data coming from a multitude of products.
How does Telecom Data Fabric support automation?
Control loops can be integrated into network elements and new standards, network operations centers, customer care, incident management, OSS/BSS, and more, working toward an autonomous network.
Note: All product information on this page has been compiled with care, but is provided without guarantee and may be outdated or incomplete. Cloud services evolve rapidly — features, pricing, SLAs, and availability change frequently. Authoritative and up-to-date information can only be found on the official product page of Google Cloud (official documentation). This page does not represent an offer by Google Cloud.
