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Ingest data from Google Analytics 4 and Google Sheets to Amazon Redshift using Amazon AppFlow

AWS Big Data

With Amazon AppFlow, you can run data flows at nearly any scale and at the frequency you chooseon a schedule, in response to a business event, or on demand. You can configure data transformation capabilities such as filtering and validation to generate rich, ready-to-use data as part of the flow itself, without additional steps.

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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. Choose the created IAM role. Under Permissions policies , choose Add permission and Create inline policy.

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Stream data from Amazon MSK to Apache Iceberg tables in Amazon S3 and Amazon S3 Tables using Amazon Data Firehose

AWS Big Data

Conclusion In this post, we demonstrated two approaches for data streaming from Amazon MSK to data lakes using Firehose: direct streaming to Iceberg tables in Amazon S3, and streaming to S3 Tables.

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Author data integration jobs with an interactive data preparation experience with AWS Glue visual ETL

AWS Big Data

This allows data analysts and data scientists to rapidly construct the necessary data preparation steps to meet their business needs. We use the new data preparation authoring capabilities to create recipes that meet our specific business needs for data transformations. Choose the created IAM role.

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Introducing Amazon Q data integration in AWS Glue

AWS Big Data

Amazon Q Developer can now generate complex data integration jobs with multiple sources, destinations, and data transformations. Generated jobs can use a variety of data transformations, including filter, project, union, join, and custom user-supplied SQL. Configure an IAM role to interact with Amazon Q.

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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. This method uses GZIP compression to optimize storage consumption and query performance. The following code is the input paths map: { EventType: $.detail.EventType

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Accelerate analytics on Amazon OpenSearch Service with AWS Glue through its native connector

AWS Big Data

Conclusion The integration of AWS Glue with OpenSearch Service adds the powerful ability to perform data transformation when integrating with OpenSearch Service for analytics use cases. This enables organizations to streamline data integration and analytics with OpenSearch Service. Attach the AWS managed policy GlueServiceRole.