Remove 2012 Remove Metadata Remove Testing
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Design a data mesh pattern for Amazon EMR-based data lakes using AWS Lake Formation with Hive metastore federation

AWS Big Data

Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated. The onboarding of producers is facilitated by sharing metadata, whereas the onboarding of consumers is based on granting permission to access this metadata. Test access using Athena queries in the consumer account.

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How Volkswagen streamlined access to data across multiple data lakes using Amazon DataZone – Part 1

AWS Big Data

This populates the technical metadata in the business data catalog for each data asset. The business metadata, can be added by business users to provide business context, tags, and data classification for the datasets. If new AWS Glue tables or metadata is created or updated, then it starts the data source sync job.

Data Lake 116
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Orchestrate an end-to-end ETL pipeline using Amazon S3, AWS Glue, and Amazon Redshift Serverless with Amazon MWAA

AWS Big Data

The policies attached to the Amazon MWAA role have full access and must only be used for testing purposes in a secure test environment. For more information, see Accessing an Amazon MWAA environment. For production deployments, follow the least privilege principle.

Metadata 108
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Manage Amazon OpenSearch Service Visualizations, Alerts, and More with GitHub and Jenkins

AWS Big Data

It is advised to discourage contributors from making changes directly to the production OpenSearch Service domain and instead implement a gatekeeper process to validate and test the changes before moving them to OpenSearch Service. Jenkins retrieves JSON files from the GitHub repository and performs validation. Leave the settings as default.

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Accelerate HiveQL with Oozie to Spark SQL migration on Amazon EMR

AWS Big Data

We split the solution into two primary components: generating Spark job metadata and running the SQL on Amazon EMR. The first component (metadata setup) consumes existing Hive job configurations and generates metadata such as number of parameters, number of actions (steps), and file formats. sql_path SQL file name.

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Build streaming data pipelines with Amazon MSK Serverless and IAM authentication

AWS Big Data

For testing, this post includes a sample AWS Cloud Development Kit (AWS CDK) application. The following sections take you through the steps to deploy, test, and observe the example application. With AWS X-Ray, you can trace the entire application, which is useful to identify bottlenecks when load testing.

Testing 104
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Federate Amazon QuickSight access with open-source identity provider Keycloak

AWS Big Data

Download the SAML metadata file. In the navigation pane under Clients , import the SAML metadata file. Download the Keycloak IdP SAML metadata file from that URL location. For Metadata document , upload the Keycloak IdP SAML metadata XML file you downloaded and saved to your local machine earlier. Choose Browse.