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MLOps with Databricks // Maria Vechtomova // #314
Manage episode 482552006 series 3241972
תוכן מסופק על ידי Demetrios. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Demetrios או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
MLOps with Databricks // MLOps Podcast #314 with Maria Vechtomova, MLOps Tech Lead | Founder at Ahold Delhaize | Marvelous MLOps.
Join the Community: https://go.mlops.community/YTJoinIn
Get the newsletter: https://go.mlops.community/YTNewsletter
// Abstract
The world of MLOps is very complex as there is an endless amount of tools serving its purpose, and it is very hard to get your head around it. Instead of combining various tools and managing them, it may make sense to opt for a platform instead. Databricks is a leading platform for MLOps. In this discussion, I will explain why it is the case, and walk you through Databricks MLOps features.
// Bio
Maria is an MLOps Tech lead with over 10 years of experience in Data and AI.
For the last 8 years, Maria has focused on MLOps and helped to establish MLOps best practices at large corporations.
Together with her colleague, she co-founded Marvelous MLOps to share knowledge on MLOps via training, social media posts, and blogs.
// Related Links
Website: marvelousmlops.io
MLOps Course discount code: MLOPS100 for the podcast listeners - https://maven.com/marvelousmlops/mlops-with-databricks?promoCode=MLOPS100
~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~
Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExplore
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MLOps Swag/Merch: [https://shop.mlops.community/]
Connect with Demetrios on LinkedIn: /dpbrinkm
Connect with Maria on LinkedIn: /maria-vechtomova
Timestamps:
[00:00] Maria's preferred coffee
[00:42] Takeaways
[02:48] Why Databricks for MLOps
[09:56] Platform Adoption vs Procurement Pain
[12:56] Databricks Best Practices
[16:57] Feature Store Overview
[22:00] Managed system trade-offs
[29:15] Databricks Developments and Trends
[44:31] Insider Info and Summit
[45:47] Data Ownership Pros and Cons
[48:08] Data Contracts and Challenges
[51:25] MLOps Databricks Book Guide
[52:19] Wrap up
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