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Introducing a new unified data connection experience with Amazon SageMaker Lakehouse unified data connectivity

AWS Big Data

With the ability to browse metadata, you can understand the structure and schema of the data source, identify relevant tables and fields, and discover useful data assets you may not be aware of. On your project, in the navigation pane, choose Data. For Add data source , choose Add connection. Choose the created IAM role.

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Use Snowflake with Amazon MWAA to orchestrate data pipelines

AWS Big Data

To create the connection string, the Snowflake host and account name is required. Using the worksheet, run the following SQL commands to find the host and account name. The account, host, user, password, and warehouse can differ based on your setup. Choose Next. For Secret name , enter airflow/connections/snowflake_accountadmin.

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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches. Query the data using Athena Athena is a serverless, interactive analytics service built to analyze unstructured, semi-structured, and structured data where it is hosted.