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Viettel Data Platform

Viettel Data Platform is a comprehensive data technology platform designed to assist businesses in quickly building, developing, and easily applying Big Data solutions. Additionally, it facilitates the efficient use of economic resources to develop data products. Viettel Data Platform offers a set of core technologies for a modern Big Data system, such as Hadoop, Spark, Kafka, NiFi, Kettle Pentaho... Viettel Data Platform aims to make Big Data and its applications accessible to organizations and businesses. All of the most challenging and complex tasks like research, experimentation, evaluation, and integration have already been handled by Viettel. Enterprises or organizations only need to use VDP for implementation to quickly establish a Big Data system, allowing them to focus solely on developing applications and products while leveraging the power of technology to efficiently harness data.

Detail Solutions
All in one

All in one

  • Providing all necessary technologies and ready for service deployment and rapid scaling to meet business demand:
  • Store and manage distributed data and resource
  • Technologies that integrate data with hundreds of external data sources
  • Integrate data processing framework for real-time and batch.
  • A set of tools to perform intuitive ETL, manage jobs, schedule tasks and build data pipelines.
  • Data and technology environment for building machine learning models, AI that leverage distributed processing capabilities and Big Data.
  • Tools support Data Visualization.
Optimization

Optimization

Allows processing of large volumes of data without the need for significant investment in high-performance hardware. Additionally, it provides scalable processing capabilities based on data volume requirements. It enables flexible deployment on physical infrastructure, Cloud infrastructure (public and private), and on-premises

Simplify

Simplify

The entire deployment process of the platform is carried out through intuitive interface.

Modularization

Modularization

Modules interact with each other by straightforward standards and expanding functions.

Deployment

Deployment

  • Supports One-Click deployment.
  • Supports deployment on Cloud/On-Premise.
Integrate and Share data

Integrate and Share data

  • Supports batch data integration and sharing.
  • Supports stream data integration and sharing.
Analysis and process data

Analysis and process data

  • Supports interactive querying.
  • Supports batch  data analysis and processing.
  • Supports stream data analysis and processing
ETL tool

ETL tool

  • Support drag and drop interface
  • Support scheduling and job management
Data Manage

Data Manage

  • Support metadata management
  • Support  data lineage management
  • Support access control and audit.
  • Support CI/CD integrate
  • Support a built-in set of optimized parameters in the platform.

Supports solving problems related to data centralization, data government, data visualization and deploying data analysis solutions for businesses.