AWS Developers | Analytics Workshop: Improve Data Quality in Your Data Lake- AWS Virtual Workshop @awsdevelopers | Uploaded 1 year ago | Updated 22 minutes ago
Data lakes can turn into data swamps if data quality isn’t monitored closely. Learn how to build confidence in your data by helping to ensure high data quality, as AWS Glue Data Quality automatically measures, monitors, and manages data quality in your data lakes and data pipelines, reducing manual data quality efforts from days to hours and making it easy to identify missing, stale, or bad data before it impacts your business.
Learning Objectives:
* Objective 1: Learn how to automate data quality rule creation and management.
* Objective 2: See how AWS Glue can monitor data quality for data at rest in your data lake and data in transit in data pipelines.
* Objective 3: Explore how to enable root cause analysis and drill-down into data quality issues to you can resolve them.
***To learn more about the services featured in this talk, please visit: aws.amazon.com/glue/features/data-quality
****To download a copy of the slide deck from this webinar visit: pages.awscloud.com/Analytics-Workshop-Improve-Data-Quality-in-Your-Data-Lake_2023_VW-0810-ABD_OD Subscribe to AWS Online Tech Talks On AWS:
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☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS.
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Data lakes can turn into data swamps if data quality isn’t monitored closely. Learn how to build confidence in your data by helping to ensure high data quality, as AWS Glue Data Quality automatically measures, monitors, and manages data quality in your data lakes and data pipelines, reducing manual data quality efforts from days to hours and making it easy to identify missing, stale, or bad data before it impacts your business.
Learning Objectives:
* Objective 1: Learn how to automate data quality rule creation and management.
* Objective 2: See how AWS Glue can monitor data quality for data at rest in your data lake and data in transit in data pipelines.
* Objective 3: Explore how to enable root cause analysis and drill-down into data quality issues to you can resolve them.
***To learn more about the services featured in this talk, please visit: aws.amazon.com/glue/features/data-quality
****To download a copy of the slide deck from this webinar visit: pages.awscloud.com/Analytics-Workshop-Improve-Data-Quality-in-Your-Data-Lake_2023_VW-0810-ABD_OD Subscribe to AWS Online Tech Talks On AWS:
youtube.com/@AWSOnlineTechTalks?sub_confirmation=1
Follow Amazon Web Services:
Official Website: aws.amazon.com/what-is-aws
Twitch: twitch.tv/aws
Twitter: twitter.com/awsdevelopers
Facebook: facebook.com/amazonwebservices
Instagram: instagram.com/amazonwebservices
☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS.
#AWS
