Data Versioning, Lineage, and Quality Monitoring for AI
Category: Tutorials
- views: 124
- date: 10 May 2025
- posted by: AD-TEAM
Data Versioning, Lineage, and Quality Monitoring for AI
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 42m | 148 MB
Instructor: Janani Ravi
Discover the importance of data versioning and how it impacts ML and AI workflows. Instructor Janani Ravi outlines key concepts such as snapshots, lineage, branching, and how to manage data versions effectively. Explore how to use data version control (DVC) to initialize Git, track files, and version data more efficiently. Get introduced to data lineage in Microsoft Fabric and uncover techniques and best practices to track lineage.
Understand common issues with data and models, including processing, schema management, data loss, and bias, and learn how to monitor these aspects for quality. Along the way, learn how to track metrics that help ensure data and model integrity and performance. Whether you're a data scientist, engineer, or currently working in data management, this course equips you with the skills you need to maintain high standards of data versioning and quality monitoring in your projects.
More Info
AusFile
DDownload
RapidGator
We need your support!
Make a donation to help us stay online
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem
Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u
USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm
Information |
|||
 |
Users of GUESTS are not allowed to comment this publication. | ||