FineDataLink Module Introduction

This document introduces the functions and usage processes of each module in FineDataLink.

Notes:

For details about the supported data sources of different modules, see Data Sources Supported by FineDataLink.

For details about the value proposition of different modules, see Value Proposition.

Data Development

Function Description

The Data Development module can be connected to multiple data sources, and provides a main page for visual development. Two data processing modes (ETL and ELT) can flexibly meet different scenarios. Tasks can be executed on a scheduled basis. Scheduling dependencies can be set for scheduled tasks, helping you easily build offline data warehouses, and ensuring efficient and stable data production.

Usage Process

• Overview of Scheduled Task

• Data Development

Data Pipeline

Function Description

Data Pipeline supports real-time data synchronization. By monitoring the database log changes at the source end of the data pipeline, the incremental or full amount of data of a single table or the entire database can be synchronized in real-time. Real-time synchronization of DDL is also supported.

A failed pipeline task can continue from the breakpoint. In this case, if the full data has not been synchronized, the data synchronization will start from the beginning. If the full data has been synchronized, the data synchronization will start from the breakpoint.

Usage Process

More Introductions

• Overview of Data Pipeline

• Real-Time Data Pipeline

Data Service

Function Description

Data Service provides the function of data sharing, and supports the rapid generation of APIs through SQL statements and visual configurations of data processed and fused from multiple data sources. This allows minute-level data delivery for external system calls, facilitating data value output and open sharing.

Usage Process

Overview of Data Service

Other Modules