One-Stop Data Platform on AWS

Amid the wave of global digitalization and economic integration, internet companies are targeting overseas markets to break through local limitations and achieve sustained growth. Inspired by successful overseas expansion cases like SHEIN, building an one-stop data middle platform on AWS, with data at its core, enables precise market positioning, user marketing, reduces supply chain costs, and facilitates steady business growth.

Leveraging AWS to build an one-stop data middle platform, centered on data, allows for precise market positioning, user marketing, reduces supply chain costs, and aids robust business growth.

Industry Pain Points

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Data Silos Problem

Data scattered across business systems forms "data silos," preventing data sharing within the company and making it difficult to realize data value.

Multiple Data Center Unified Management Challenge

Due to business development needs, internet companies often have multiple data centers in different locations, making data center management and real-time data querying challenging.

Weak Holistic Data Governance Capability

The entire data chain is not effectively connected, and operational analysis lacks closure, resulting in limited data empowerment for the business.

Value Proposition

Unified Data Access Standards

When connecting to different business system data sources, the platform provides a unified access method, integrates data from various sources consistently, and manages metadata uniformly, enhancing the completeness and reliability of business analysis.

One-Stop Data Development Experience

Using a unified data development platform to compatible with different cloud platforms domestically and overseas, ensuring consistency in data processes during development, and providing unified data development standards and specifications to guarantee a consistent experience for business users accessing data.

Real-Time Data Production Capability

By providing real-time data access and processing capabilities, it synchronizes and integrates every new piece of user behavior data from the business end in real-time, shortens the data production and analysis cycle, offers the freshest data feedback to the business, and assists enterprises in making more efficient operational decisions.

Unified Data Access Standards

When connecting to different business system data sources, the platform provides a unified access method, integrates data from various sources consistently, and manages metadata uniformly, enhancing the completeness and reliability of business analysis.

One-Stop Data Development Experience

Using a unified data development platform to compatible with different cloud platforms domestically and overseas, ensuring consistency in data processes during development, and providing unified data development standards and specifications to guarantee a consistent experience for business users accessing data.

Real-Time Data Production Capability

By providing real-time data access and processing capabilities, it synchronizes and integrates every new piece of user behavior data from the business end in real-time, shortens the data production and analysis cycle, offers the freshest data feedback to the business, and assists enterprises in making more efficient operational decisions.

Solution Architecture

Customer Cases

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One-Stop Data Platform for an Overseas E-commerce Company

Based on the CyberData platform, provides a comprehensive data platform solution perfectly adapted to the AWS foundation for an overseas e-commerce company. CyberData adopts a modern data-intelligence architecture integrating streaming and batch processing, data lake and warehouse, and data and intelligence. It supports cloud-native capabilities such as storage-compute separation, elastic scaling, and Serverless, and is fully compatible with AWS big data components like EMR and EMR Serverless. The platform offers modular capabilities around the entire data lifecycle, including data integration, development, governance, and services, ensuring the company's cloud data quality. The development phase supports stream-batch integration, stably running offline and real-time tasks through Spark/Flink on EMR, and relies on the self-developed Cyber Scheduler orchestration engine to meet complex business process needs. The governance phase provides modules like data standards, data warehouse modeling, and data quality, empowering the entire data governance process and ensuring the integrity and accuracy of the company's thousands of tasks and massive data.

Based on the CyberData platform, provides a comprehensive data platform solution perfectly adapted to the AWS foundation for an overseas e-commerce company. CyberData adopts a modern data-intelligence architecture integrating streaming and batch processing, data lake and warehouse, and data and intelligence. It supports cloud-native capabilities such as storage-compute separation, elastic scaling, and Serverless, and is fully compatible with AWS big data components like EMR and EMR Serverless. The platform offers modular capabilities around the entire data lifecycle, including data integration, development, governance, and services, ensuring the company's cloud data quality. The development phase supports stream-batch integration, stably running offline and real-time tasks through Spark/Flink on EMR, and relies on the self-developed Cyber Scheduler orchestration engine to meet complex business process needs. The governance phase provides modules like data standards, data warehouse modeling, and data quality, empowering the entire data governance process and ensuring the integrity and accuracy of the company's thousands of tasks and massive data.