Most companies store data in different services and systems. The volume of this data is growing, businesses are looking for a way to consolidate it into a data warehouse or data lake, and data engineers are extracting information to help companies be competitive. The Airbyte tool helps to solve such problems.
For today the Airbyte solution is at its peak. Most data specialists use it.
Airbyte is an open-source ELT platform that helps developers replicate data to data warehouses, lakes and databases. Its main task is to upload data and place it in the target table.
The tool allows developers to create connectors for different data sources and destinations. The Airbyte company provides an open source platform for creating connectors and invites developers to create and add their connectors to the tool.
What does Airbyte consist of?
The Airbyte consists of two parts: a platform and connectors.
The platform provides all the services necessary to configure and perform data movement operations: user interface, job scheduling, logging, alerts, etc. It is structured as a set of microservices.
Connectors are independent modules that transmit and extract data from sources and target destinations. The connectors follow the Airbyte specification.
Airbyte tool has the following components:
Airbyte Worker. It is the central part of the Airbyte stack, responsible for:
1) initialization of source and destination
2) transfer of data from the source to the destination.
Connector. Code allows Airbyte to interact with a specific underlying data destination. This integration is either a source or a destination in Airbyte.
Source. The connector retrieves data from the underlying data source.
Destination. This connector sends data to the underlying data source.
AirbyteSpecification. A specification that describes how to implement connectors using a standard interface.
AirbyteProtocol. It is used for interprocess communication. Integration Commands are commands that the integration container implements.
Sync is an action to move data from a source to a destination.
Solving tasks of data reception, integration and transformation is a big challenge. Therefore, you need to work flexibly in the cloud, use cloud and open source tools, and choose the right set of technologies.
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