AWS Datalake integrations to save data teams 40 hours a week

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Start using AWS Datalake integrations in three easy steps

Integrate AWS Datalake connector in Airbyte

Choose a source connector to extract data

Connect AWS Datalake as a source in Airbyte to start the data extraction process - without deep technical expertise.

Choose a source connector from 400+ integrations available on Airbyte to start the data extraction process - without deep technical expertise.

Send AWS Datalake data anywhere you need it

Store your data inside AWS Datalake destination

Choose from 50+ Airbyte destinations, including warehouses, databases, and lakes, to store and analyze your AWS Datalake data.

Choose AWS Datalake from 50+ Airbyte destinations, including warehouses, databases, and lakes, to store and analyze the data from the source connector.

Configure your AWS Datalake data synchronization

Configure the integration for data synchronization

Select the AWS Datalake streams you need and define your sync frequency. Airbyte lets you choose exactly which data to load and where it lands for full pipeline control.

Select the streams you need and define your sync frequency. Airbyte lets you choose exactly which data to load and where it lands for full pipeline control.

AWS Datalake integrations let you do all these:

Sync AWS Datalake data to BigQuery for advanced analytics

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Replicate AWS Datalake data into PostgreSQL for structured querying

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Get insights by merging AWS Datalake data with HubSpot

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Export AWS Datalake data to Google Sheets for analysis

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AWS Datalake integrations let you do all these:

Sync Google Analytics data to AWS Datalake for analysis

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Load PostgreSQL data in to AWS Datalake effortlessly

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Keep Notion data fresh in AWS Datalake with automated syncs

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Manage Salesforce data in AWS Datalake BigQuery for analytics

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All about AWS Datalake integrations

What are AWS Datalake integrations?

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Why choose Airbyte for AWS Datalake data integration?

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What data can you extract from Airbyte’s AWS Datalake integration?

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What data can you load to AWS Datalake?

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How often does Airbyte sync my AWS Datalake data?

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Do I need coding experience to use the AWS Datalake integrations?

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About AWS Datalake

An AWS Data Lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. It is designed to handle massive amounts of data from various sources, such as databases, applications, IoT devices, and more. With AWS Data Lake, you can easily ingest, store, catalog, process, and analyze data using a wide range of AWS services like Amazon S3, Amazon Athena, AWS Glue, and Amazon EMR. This allows you to build data lakes for machine learning, big data analytics, and data warehousing workloads. AWS Data Lake provides a secure, scalable, and cost-effective solution for managing your organization's data.