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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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Security Reference Architecture Summary for Cloudera Data Platform

Cloudera

System metadata is reviewed and updated regularly. Services in each zone use a combination of kerberos and transport layer security (TLS) to authenticate connections and APIs calls between the respective host roles, this allows authorization policies to be enforced and audit events to be captured. Sensitive data is encrypted.

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A Reference Architecture for the Cloudera Private Cloud Base Data Platform

Cloudera

All three will be quorums of Zookeepers and HDFS Journal nodes to track changes to HDFS Metadata stored on the Namenodes. CDP is particularly sensitive to host name resolution, therefore it’s vital that the DNS servers have been properly configured and hostnames are fully qualified. Networking . Clocks must also be synchronized.

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Reduce your compute costs for stream processing applications with Kinesis Client Library 3.0

AWS Big Data

Load balancing challenges with operating custom stream processing applications Customers processing real-time data streams typically use multiple compute hosts such as Amazon Elastic Compute Cloud (Amazon EC2) to handle the high throughput in parallel. KCL uses DynamoDB to store metadata such as shard-worker mapping and checkpoints.

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Implement a custom subscription workflow for unmanaged Amazon S3 assets published with Amazon DataZone

AWS Big Data

To learn more about working with events using EventBridge, refer to Events via Amazon EventBridge default bus. After you create the asset, you can add glossaries or metadata forms, but its not necessary for this post. We refer to this role as the instance-role throughout the post. Enter a name for the asset.

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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. For Host , enter your host name of your Aurora PostgreSQL database cluster. To learn more, refer to Amazon SageMaker Unified Studio.

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Disaster recovery strategies for Amazon MWAA – Part 2

AWS Big Data

The solution for this post is hosted on GitHub. Backup and restore architecture The backup and restore strategy involves periodically backing up Amazon MWAA metadata to Amazon Simple Storage Service (Amazon S3) buckets in the primary Region. Refer to the detailed deployment steps in the README file to deploy it in your own accounts.

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