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Measure performance of AWS Glue Data Quality for ETL pipelines

AWS Big Data

AWS Glue Data Quality is built on DeeQu , an open source tool developed and used at Amazon to calculate data quality metrics and verify data quality constraints and changes in the data distribution so you can focus on describing how data should look instead of implementing algorithms. In the Tags section, define dqjob tag as rs5.

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Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg

AWS Big Data

As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to meet evolving analytical needs. Open the AWS CloudFormation console. In Lake Formation, these attributes are called LF-Tags. Open the details page for icebergdb1.

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How BMO improved data security with Amazon Redshift and AWS Lake Formation

AWS Big Data

It provides fine-grained access control, tagging ( tag-based access control (TBAC) ), and integration across analytical services. Using AWS Lake Formation tags, we apply the fine-grained access control to these external tables for AWS IAM roles (e.g., As a part of this blog, the data will be uploaded into Amazon S3.

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AWS Lake Formation 2023 year in review

AWS Big Data

Curate your data at scale – This session shows how solutions like AWS Glue, AWS Glue Data Quality , and Lake Formation can help you manage your best sources and find sensitive information. We have also seen a tremendous rise in the usage of open table formats (OTFs) like Linux Foundation Delta Lake, Apache Iceberg , and Apache Hudi.

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Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes

AWS Big Data

Apache Iceberg is an open table format for large datasets in Amazon Simple Storage Service (Amazon S3) and provides fast query performance over large tables, atomic commits, concurrent writes, and SQL-compatible table evolution. Amazon S3 uses object tagging to categorize storage where each tag is a key-value pair. With the s3.delete.tags

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DIY cloud cost management: The strategic case for building your own tools

CIO Business Intelligence

For example, the aggregation of billing data, and the act of grouping tags to populate all the attributes that must be applied after data ingestion, can be burdensome on some cloud cost optimization tools, slowing down efforts to react to the spending data. “You ClearData’s tech stack ensured that appropriate tags remained during deployment.

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Use IAM runtime roles with Amazon EMR Studio Workspaces and AWS Lake Formation for cross-account fine-grained access control

AWS Big Data

To control access to data sources, each EMR Studio Workspace had to use a different EMR cluster, and multiple EMR instance profiles were needed. Set up application integration settings To enforce permissions for the EMR cluster, you need to register a session tag value with Lake Formation. For Session tag values , enter Amazon EMR.