Connectors
Connectors play an important role in the landscape of data-driven projects, acting as essential components that facilitate the movement and integration of data across different systems, platforms, and applications. YData´s Connectors where designed to offer a seamless and easy connectivity for data exchange between data sources (such as databases, cloud storage systems, lakehouses and more).
Benefits
- Data Integration: YData's Connectors are primarily used to consume and integrate data a variety of different sources in a single project, ensuring that data can be easily combined, transformed, and made ready for analysis or operational use.
- Automation of data flows: They automate the process of data extraction, transformation and loading (ETL), which is crucial for maintaining up-to-date and accurate the data that is being used for a certain project.
- Simplification of data access: YData's connectors experience simplify the process of accessing and using data from specialized or complex systems, making it easier for users without deep technical expertise to leverage data for insights.
- Enhancement of Data Security: Designed to manage in a secure way the credentials and access to your different storage.
The YData SDK provides a comprehensive set of connectors to access various data sources. This section covers the supported connectors and their usage.
Getting Started Examples
For practical examples of using these connectors, check out our Getting Started guides:
- Local Connector Example
- MySQL Connector Example
- MSSQL Connector Example
- Snowflake Connector Example
- Databricks Lakehouse Example
- Databricks Unity Catalog Example
- Google Cloud Storage Example
- Amazon S3 Example
- Azure Blob Example
- BigQuery Example