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Scale your data integration with confidence
Choose a source connector to extract data
Choose a source connector from 400+ integrations available on Airbyte to start the data extraction process - without deep technical expertise.
The AWS Datalake integration is designed to facilitate data synchronization to AWS by writing data as JSON files in S3. It integrates with AWS Lake Formation to create governed tables in the Glue Data Catalog, enabling seamless access to data across various AWS services, such as Athena and Redshift, thus enhancing data management and analytics capabilities.
Choosing Airbyte for AWS Datalake integration offers a flexible, open-source solution that simplifies the process of connecting various data sources to AWS. It supports multiple sync modes, including full refresh and incremental sync, enabling efficient data management. Additionally, its community-driven development allows for continuous improvements and support for new features.
With Airbyte’s AWS Datalake integration, you can load or extract diverse data types, including JSON data. The integration ensures that the Glue tables created in AWS will reflect the source schema, with specific types translated for compatibility, such as converting 'number' to 'float' and 'integer' to 'int', facilitating effective data handling.
With Airbyte’s AWS Datalake integration, you can load or extract diverse data types, including JSON data. The integration ensures that the Glue tables created in AWS will reflect the source schema, with specific types translated for compatibility, such as converting 'number' to 'float' and 'integer' to 'int', facilitating effective data handling.
Airbyte allows for flexible syncing of AWS Datalake data, with support for both full refresh sync and incremental append sync. This means that users can choose how often to update their data, whether they prefer to refresh the entire dataset or just append new data, depending on their specific requirements and use cases.
No coding experience is necessary to use the AWS Datalake integrations with Airbyte. The platform provides a user-friendly interface for configuring connections and managing data flows, making it accessible for users without technical backgrounds while still offering advanced features for developers when needed.
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AWS Datalake is a centralized repository that stores structured and unstructured data at scale. Integrating AWS Datalake data empowers data engineers by simplifying data management, enabling efficient analytics, and facilitating seamless access to data across AWS services. This integration enhances data-driven decision-making and accelerates insights generation.