@awsdevelopers
  @awsdevelopers
AWS Developers | Analytics Workshop: Automate Data Discovery and Cataloging with ML @awsdevelopers | Uploaded 11 months ago | Updated 1 hour ago
🌟 Get started with Amazon DataZone: aws.amazon.com/datazone

Remove time from manual entry of data attributes in the data catalog, which also introduces potential errors. More, richer data in the business data catalog improves the searching experience, too. Learn how to reduce your time searching for and using data from weeks to days with these features (and more) in Amazon DataZone.

📥💼 Download slides: pages.awscloud.com/rs/112-TZM-766/images/2023_VW-1014-ABD_Slide-Deck.pdf

🔔 Subscribe to AWS Developers on YouTube: youtube.com/@awsdevelopers?sub_confirmation=1

Follow AWS Developers:
👾 Twitch: twitch.tv/aws
🐦 Twitter: twitter.com/awsdevelopers
💻 LinkedIn: linkedin.com/showcase/aws-developers

#aws #amazondatazone #awsanalytics
Analytics Workshop: Automate Data Discovery and Cataloging with MLConnect Your Amazon Redshift Data for Analytics and ML - AWS Virtual WorkshopChanging Parameters for A/B Testing, with Apache Flink | 4/5Streamline Your Git Commits with Amazon Q Developer CLIBuild a UGC Live Streaming App with Amazon IVS: Creating an Amazon IVS Channel (Lesson 2.2)Deploy Your Neptune Graph Infrastructure with Amazon CDK: Step-by-Step Guide6 Ways to Boost Your Coding Productivity with Amazon Q DeveloperBuild a UGC Live Streaming App with Amazon IVS: Displaying Viewer Counts on a Channel (Lesson 8.3)Using Amazon Q Developer to Write Code for ObservabilityAmazon Bedrock: What Are Tokens?Build a UGC Live Streaming App with Amazon IVS: Add Low-Latency Stream Playback (Lesson 5.2)Secure Software DevOps

Analytics Workshop: Automate Data Discovery and Cataloging with ML @awsdevelopers

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER