Data Processing Modernization

Our solutions enable you to modernize your telecom data stack – making it accessible in real-time, transforming it to cloud-native architecture – and getting AI-ready.

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Support Real-Time AI, Automation and Cross-Domain Analytics

Legacy ETL stacks and fragmented data pipelines slow down innovation. To meet the challenge of today’s networks, you need a cloud native, telco optimized data infrastructure that ingests, transforms, and exposes high quality data - at scale and in real time.

Our solution integrates optimized data movement and DataOps processing to extract, transform and load your data into efficient pipelines – ready for insight, automation and AI.

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The Data Infrastructure Challenge

Fragmented Pipelines and Tool Spread

Multiple legacy analytics tools, bespoke scripts, and point integrations add cost and complexity while creating data silos across OSS/BSS and network domains. 

Data Swamps, Not Lakes

Years of uncontrolled data ingestion turn lakes into expensive repositories that are hard to query or trust. 

Real Time at Telco Scale

Traditional ETL struggles with telecom volumes and velocity, making it difficult to deliver timely insights and automate operations. 

Quality and Reliability Gaps

Incomplete, corrupted, or shifting schemas undermine AI/ML initiatives and operational dashboards.

The Solution: Telco Grade DataOps for Infrastructure Modernization

Modernize your data foundation with Data Movement powered by DataOps - a cloud native platform purpose built for your networks:

 

Capability Description
Cloud native, elastic by design
 		Deployed on containers/Kubernetes for on prem, cloud, or hybrid—scaling seamlessly with demand. 
Streaming ETL at extreme scale Ingest, transform, and enrich in real time, handling 1M+ events/second and 90B+ events/day.
150+ prebuilt connectors
 		Native support for telecom protocols and standard methods (e.g., 3GPP, SNMP, Kafka, REST, JDBC) and plug and play integration with OSS/BSS, probes, and your CRM.
Format agnostic processing
 		Structured and unstructured data - including PM logs, XML, JSON, CSV, XLS/XLSX, SNMP, and proprietary binaries. 
AI-powered transformation and quality Auto adaptation to schema changes (e.g., new KPIs), detects anomalies, and enriches/cleans data with pattern based checks. 
Security and governance Field level encryption, masking/anonymization for PII, lineage and health monitoring, plus centralized pipeline management.
No code visual builder Drag and drop GUI to design pipelines, simulate flows, and manage data journeys without extensive custom code.
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What You’ll Achieve with Polystar’s Data Infrastructure

  • Consolidate legacy stacks and reduce infrastructure and licensing costs with one telco optimized platform.

  • Accelerate AI/ML readiness by delivering clean, unified, high quality data to model training and inference systems.

  • Real time network intelligence for Network Operations Center (NOC), engineering, and customer care - correlate cross domain events in seconds.

  • Future proof operations with automatic schema adaptation, scalable streaming, and multi cloud/hybrid flexibility.

Polystar's DataOps Processing Capabilities

How It Works - At A Glance

STEP DESCRIPTION
1.  Connect & Ingest Use prebuilt connectors to capture streams, micro batches, and files from RAN/Core/OSS sources (Kafka, SFTP, SNMP, REST, GCS, S3/MinIO, TCP probes, JDBC).
2. Decode & Parse Transform telecom specific formats—including proprietary binaries—into analytics ready tables; map fields to a unified schema. 
3. Transform, Enrich & Secure Apply AI assisted transformations, quality checks, enrichment dictionaries, and field encryption/anonymization. 
4. Monitor & Assure Quality Central UI for pipeline monitoring, lineage, health, and anomaly detection with alerting; handle corrupted data proactively.
5. Expose & Operationalize Deliver curated datasets to data lakes/warehouses (ClickHouse, Elastic, S3/GCS), analytics platforms (Kalix Analytics/OSIX Monitoring), AI tools, and downstream apps via APIs/JDBC.
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Customer Success

Johan Wibergh
CTO, Vodafone

“As the needs of our 300 million plus mobile customers evolve so will our network using this new platform. It is a global data hub that gives us a real-time view of what is happening anywhere on our network, uses our global scale to manage traffic growth cheaper and more efficiently as customer data consumption grows by around 40% per year, and supports the full automation of our network.

Rainer Deutschmann
Group COO, Telia Company

"Data, analytics, and artificial intelligence are central to our digital transformation. As we digitize and automate our operations, we extend our partnership with Polystar to run our IT and networks even more efficiently. We leverage real-time and vast amounts of data from all relevant sources to improve detection, resolution, and prevention of incidents, ultimately to further improve service quality for our customers."

Learn More about Polystar Solutions

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Telecom Industry Insights

Visit our Knowledge Center and stay up to date on Industry trends and more.

Knowledge Center

Are you ready to modernize your data processing?

Book a technical discovery to review sources, target sinks, quality requirements, and deployment options (on prem, cloud, or hybrid).

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