Remove tags jobs
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Measure performance of AWS Glue Data Quality for ETL pipelines

AWS Big Data

As part of the results, we show how AWS Glue Data Quality provides information about the runtime of extract, transform, and load (ETL) jobs, the resources measured in terms of data processing units (DPUs), and how you can track the cost of running AWS Glue Data Quality for ETL pipelines by defining custom cost reporting in AWS Cost Explorer.

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

AWS Big Data

Lake Formation tag-based access control (LF-TBAC) is an authorization strategy that defines permissions based on attributes. In Lake Formation, these attributes are called LF-Tags. You can attach LF-Tags to Data Catalog resources, Lake Formation principals, and table columns. You can see the associated database LF-Tags.

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Automated data governance with AWS Glue Data Quality, sensitive data detection, and AWS Lake Formation

AWS Big Data

In this post, we showcase how to use AWS Glue with AWS Glue Data Quality , sensitive data detection transforms , and AWS Lake Formation tag-based access control to automate data governance. For the purpose of this post, the following governance policies are defined: No PII data should exist in tables or columns tagged as public.

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Introducing enhanced support for tagging, cross-account access, and network security in AWS Glue interactive sessions

AWS Big Data

In this post, we discuss the following new management features recently added and how can they give you more control over the configurations and security of your AWS Glue interactive sessions: Tags magic – You can use this new cell magic to tag the session for administration or billing purposes. Enter a name for your notebook.

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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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The Quality of Auto-Generated Code

O'Reilly on Data

Not that humans currently do a good job of writing readable code; but we all know how painful it is to debug code that isn’t readable, and we all have some concept of what “readability” means. Second: Copilot was trained on the body of code in GitHub. And again, do we care, and why? This question can be argued either way. Repeat as needed.

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How Chime Financial uses AWS to build a serverless stream analytics platform and defeat fraudsters

AWS Big Data

AWS Glue jobs form the backbone of our Streaming 2.0 The simple AWS Glue icon in the diagram represents thousands of AWS Glue jobs performing different transformations. pipeline, we use streaming ETL jobs in AWS Glue to consume data from Kinesis Data Streams and apply near-real-time transformation.