Remove 2012 Remove Metadata Remove Visualization
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Manage Amazon OpenSearch Service Visualizations, Alerts, and More with GitHub and Jenkins

AWS Big Data

OpenSearch Service stores different types of stored objects, such as dashboards, visualizations, alerts, security roles, index templates, and more, within the domain. As your user base and number of Amazon OpenSearch Service domains grow, tracking activities and changes to those saved objects becomes increasingly difficult.

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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. You can navigate to the projects Data page to visually verify the existence of the newly created table. Under Create job , choose Visual ETL.

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Federate to Amazon Redshift Query Editor v2 with Microsoft Entra ID

AWS Big Data

The Query Editor V2 offers a user-friendly interface for connecting to your Redshift clusters, executing queries, and visualizing results. Save the federation metadata XML file You use the federation metadata file to configure the IAM IdP in a later step. Save this file locally. Choose Add provider. Choose Add provider.

Sales 105
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Use Apache Iceberg in your data lake with Amazon S3, AWS Glue, and Snowflake

AWS Big Data

Iceberg tables maintain metadata to abstract large collections of files, providing data management features including time travel, rollback, data compaction, and full schema evolution, reducing management overhead. You can use this same integration to take advantage of the data sharing and collaboration capabilities in Snowflake.

Data Lake 126
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Ingest and analyze your data using Amazon OpenSearch Service with Amazon OpenSearch Ingestion

AWS Big Data

A common use case that we see amongst customers is to search and visualize data. In this post, we show how to ingest CSV files from Amazon Simple Storage Service (Amazon S3) into Amazon OpenSearch Service using the Amazon OpenSearch Ingestion feature and visualize the ingested data using OpenSearch Dashboards.

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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

Add this policy to the AWS Glue role and Amazon MWAA role: { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "s3:GetObject", "s3:PutObject", "s3:PutObjectAcl" ], "Resource": "arn:aws:s3:::sample-inp-bucket-etl- /*" } ] } In Account B, create the IAM policy policy_for_roleB specifying Account A as a trusted entity.

Metadata 132
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Petabyte-scale log analytics with Amazon S3, Amazon OpenSearch Service, and Amazon OpenSearch Ingestion

AWS Big Data

With OpenSearch Ingestion, you can filter, enrich, transform, and deliver your data for downstream analysis and visualization. You can now analyze infrequently queried data in cloud object stores and simultaneously use the operational analytics and visualization capabilities of OpenSearch Service.

Data Lake 131