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AI governance is rapidly evolving — Here’s how government agencies must prepare

IBM Big Data Hub

For instance, it is increasingly advisable to provide transparency to end users about the presence and use of any AI they are interacting with. Step 3: For six to eight weeks leading up to the presentation date, offer applied training to the teams on developing these artifacts through workshops on their specific use cases.

Risk 75
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Improve observability across Amazon MWAA tasks

AWS Big Data

When it comes to pipeline health management, each service that your tasks are interacting with could be storing or publishing logs to different locations, such as an S3 bucket or Amazon CloudWatch logs. To run the scripts, refer to the Amazon MWAA analytics workshop.

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Improve reliability and reduce costs of your Apache Spark workloads with vertical autoscaling on Amazon EMR on EKS

AWS Big Data

Moreover, it’s hard to right-size these settings for some use cases such as interactive analytics due to lack of visibility into future requirements. If not, refer to the Setting up Prometheus and Grafana for monitoring the cluster section of the Running batch workloads on Amazon EKS workshop to get them up and running on your cluster.

Metrics 81
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Build a data lake with Apache Flink on Amazon EMR

AWS Big Data

The AWS Glue Data Catalog provides a uniform repository where disparate systems can store and find metadata to keep track of data in data silos. With unified metadata, both data processing and data consuming applications can access the tables using the same metadata. For metadata read/write, Flink has the catalog interface.

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Turning Streams Into Data Products

Cloudera

For governance and security teams, the questions revolve around chain of custody, audit, metadata, access control, and lineage. She needs to measure the streaming telemetry metadata from multiple manufacturing sites for capacity planning to prevent disruptions. Meet Laila, a very opinionated practitioner of Cloudera Stream Processing.

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Build streaming data pipelines with Amazon MSK Serverless and IAM authentication

AWS Big Data

or higher Appropriate AWS credentials for interacting with resources in your AWS account. The following software installed on your development machine, or use an AWS Cloud9 environment, which comes with all requirements preinstalled: Java Development Kit 17 or higher (for example, Amazon Corretto 17 , OpenJDK 17 ) Python version 3.11

Testing 99
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AWS Lake Formation 2022 year in review

AWS Big Data

We encourage you to check this feature in the Lake Formation workshop Integration with Amazon EMR using Runtime Roles. Amazon DataZone is a business data catalog service that supplements the technical metadata in the AWS Glue Data Catalog. Please get in touch through your AWS account team and share your comments.