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

AWS Big Data

On your project, in the navigation pane, choose Data. For Add data source , choose Add connection. For Host , enter your host name of your Aurora PostgreSQL database cluster. format(connection_properties["HOST"],connection_properties["PORT"],connection_properties["DATABASE"]) df.write.format("jdbc").option("url",

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Scaling RISE with SAP data and AWS Glue

AWS Big Data

Such analytic use cases can be enabled by building a data warehouse or data lake. Customers can now use the AWS Glue SAP OData connector to extract data from SAP. The SAP OData connector supports both on-premises and cloud-hosted (native and SAP RISE) deployments. For more information see AWS Glue.

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Integrate custom applications with AWS Lake Formation – Part 2

AWS Big Data

Add Amplify hosting Amplify can host applications using either the Amplify console or Amazon CloudFront and Amazon Simple Storage Service (Amazon S3) with the option to have manual or continuous deployment. For simplicity, we use the Hosting with Amplify Console and Manual Deployment options.

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Take manual snapshots and restore in a different domain spanning across various Regions and accounts in Amazon OpenSearch Service

AWS Big Data

The bucket has to be in the same Region where the OpenSearch Service domain is hosted. Note: While using Postman or Insomnia to run the API calls mentioned throughout this blog, choose AWS IAM v4 as the authentication method and input your IAM credentials in the Authorization section. For this post, we name the role TheSnapshotRole.

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Demystify data sharing and collaboration patterns on AWS: Choosing the right tool for the job

AWS Big Data

Given that we are dealing with a SaaS integration, AWS Glue is the logical choice for seamless data ingestion. Next, we focus on building the enterprise data platform where the accumulated data will be hosted. To incorporate this third-party data, AWS Data Exchange is the logical choice.

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Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud

AWS Big Data

Together with price-performance, Amazon Redshift offers capabilities such as serverless architecture, machine learning integration within your data warehouse and secure data sharing across the organization. dbt Cloud is a hosted service that helps data teams productionize dbt deployments. Choose Create.

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Accelerate your migration to Amazon OpenSearch Service with Reindexing-from-Snapshot

AWS Big Data

Each Lucene index (and, therefore, each OpenSearch shard) represents a completely independent search and storage capability hosted on a single machine. As a backup strategy, snapshots can be created automatically in OpenSearch, or users can create a snapshot manually for restoring it on to a different domain or for data migration.