Data Pipes

DataPipe Overview

DataPipe refers to channels or data flows designed for transferring information between various components or systems. These channels facilitate the movement of data, which can be either unidirectional or bidirectional. DataPipes are instrumental in connecting different systems and ensuring synchronization of data.

Key Features

1. Data Integration

   • DataPipes are used extensively in integrating data from multiple sources into a unified system or repository.
   • They facilitate the seamless transfer of data across disparate systems, enabling efficient data management and synchronization.

2. Data Extraction and Synchronization

   • DataPipes serve as tools for creating extraction pipelines that pull data from external sources into designated repositories.
   • They enable the mapping of data tables between source systems and repositories, ensuring accurate and consistent data transfer.
   • DataPipes can extract both full copies of data and incremental changes, ensuring that repositories are up-to-date with the latest information from external sources.

3. System Connectivity

   • By establishing connections between different components or systems, DataPipes enable real-time or scheduled data exchanges.
   • They support data synchronization efforts, ensuring that all systems involved have consistent and reliable data.