Real-time Data Integration Solution for the Internet Industry – DataPipeline defines the next-generation data infrastructure based on DataOps.

Real-time data fusion solution for the Internet industry

Enables rapid integration of various data, meets the requirements for real-time transmission of massive data, supports the rapid iteration of Internet businesses, and responds promptly to market demands.

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Industry Status

With the widespread adoption of the internet and high penetration of devices like smartphones and PCs, information systems have accumulated massive amounts of data. However, this also increases the difficulty for enterprises to effectively leverage that information. As a result, extracting valuable insights from big data to better understand users has become a key breakthrough point for innovation in the internet industry.

Facing challenges

The types of data sources are diverse.

Data exists in multiple systems such as databases, cloud platforms, and file systems. It is urgent to integrate these systems and solve the problem of data silos.

Transmitting massive amounts of data

The data volume is extremely large, and the requirement for real-time data synchronization is extremely high. During the data synchronization process, it is difficult to ensure the synchronization efficiency and provide the required data to the business end in a timely manner.

The quality of the data is difficult to guarantee

During the data transmission process, it is imperative to address technical challenges in order to ensure the integrity, consistency, accuracy and uniqueness of the data, so as to provide a solid foundation for enterprises to conduct accurate business analysis.

Solutions

Compatibility and Openness

Compatible with mainstream databases on the market, it provides API data access, helping enterprises achieve data exchange, rapid cloud migration and other business operations, and continuously conducting iterative innovations for the business.

Efficient management and scheduling

It has the ability to handle large-scale traffic and batch tasks, and provides monitoring alerts during the execution of data tasks, helping enterprises significantly improve the efficiency of data processing.

Data synchronization visualization

By configuring through the visual interface, the connection between the data source and the data destination is established, and then the data synchronization work can be initiated. It supports both real-time and scheduled data synchronization.

Scheme Value

Resource sharing

The DataPipeline data fusion platform integrates data from various channels to provide data support for business departments in building user profiling systems and conducting precise marketing.
Improve productivity

Release IT personnel completely from the bottom-level technical development, and focus on meeting the data and product requirements of business personnel, thereby helping the enterprise respond quickly to market changes.
Platform expansion

Adapted to the actual business scenarios, it quickly integrates various third-party data to support rapid iteration and innovation of the business.