Summary of Beyond the buzz: 20 real metadata use cases in 20 minutes with Atlan and dbt Labs

00:00:00 - 00:30:00

In the video, Prokopa Senkar of Atlan and Amy Diora of dbt Labs discuss 20 real metadata use cases. These use cases include things like providing reusable and reproducible service requests, activating data in daily workflows, and measuring annual recurring revenue. The video provides a brief overview of the Metadata Assembly Line project, which aims to make data teams more agile and effective.

• 00:00:00 In this 20 minute talk, Prokopa Senkar of Atlan discusses 20 real metadata use cases. These include things such as verifying the accuracy of data sets, detecting fraud, and improving search results. Amy Diora of DBT Labs then introduces Prakalpa, one of the founders of Adlin, and they discuss how data democratization and access to data has helped them in the past. Senkar talks about the challenges of managing sensitive data and how trust has broken in team members.
• 00:05:00 In this video, Atlan and dbt Labs discuss 20 real metadata use cases in 20 minutes. These use cases include things like providing reusable and reproducible service requests, activating data in daily workflows, and measuring annual recurring revenue. The video provides a brief overview of the Metadata Assembly Line project, which aims to make data teams more agile and effective.
• 00:10:00 These three use cases illustrate how metadata can be used to improve the efficiency of data teams. In each case, metadata helps reduce the amount of time needed to perform common tasks, such as root cause analysis and data contract management.
• 00:15:00 This video shows real-world examples of how metadata can be used to automate tasks and improve efficiency. Some of the uses cases include change detection, trust management, and data platform migrations.
• 00:20:00 The video discusses 20 real metadata use cases in 20 minutes, including Downstream and Upstream actions triggered by changes in metadata. Atlan and dbt Labs' Kafka queue and change events API allow customers to automate these actions.
• 00:25:00 The speaker discusses how diversity within data teams is a strength, and discusses how it can be a challenge when trying to work together as a dream team. They discuss how universities are a major strength for data teams, but also point out that diversity can be a challenge.
• 00:30:00 The speaker describes 20 real-world metadata use cases, including activation data for a mobile device, tracking a shipment's route, and identifying a hazardous material.