There are numerous financial institutions, and data is stored in multiple systems. The problem of data silos needs to be urgently addressed.

The financial industry has an enormous amount of multi-dimensional data, and in real-time trading scenarios, there is an extremely high requirement for the real-time nature of data exchange.

To enhance risk management capabilities and fully leverage data-driven marketing for customer acquisition, financial enterprises often collaborate with third-party partners who hold valuable data assets to enable data sharing. This requires real-time integration of new APIs, each of which is frequently updated, resulting in high maintenance costs. Managing and unifying the integration of dozens of API interfaces becomes a major challenge.

Leveraging DataPipeline’s support for multi-source heterogeneity, online transaction data and offline counter data are seamlessly connected, enabling the customer data center’s business departments to quickly access the required data. Transaction system data is delivered in real time to branch offices or made available to downstream systems such as risk control, anti-money laundering, and business analytics.

By adopting a batch collection approach that simultaneously captures data from dozens or even hundreds of tables within the same system, data acquisition efficiency is significantly improved.

DataPipeline enables users to configure a single API within one minute and allows multiple APIs to be added to a single task for unified management. This helps users reduce the development and operational costs associated with accessing data from multiple APIs.