Lmst

Introduction to Feature store: Top #10: Databricks Certified Machine Learning Engineer-Associate
https://youtu.be/lt7zZR9KYMU

Scalability for Data Engineers | System Design Concepts
https://youtu.be/Y5OY2wuEogs

Build Feature Engineering Pipeline: Top #9: Databricks Certified Machine Learning Engineer-Associate
https://youtu.be/WY79Il6_5-k

Proxy vs Reverse Proxy for Data Engineers | System Design Concepts
https://youtu.be/3MDQhiJQUHA

Data Imputation and Transformation- Top #8:Databricks Certified Machine Learning Engineer- Associate
https://youtu.be/cLveKVdw-KM

Data Standardization- Top #7: Databricks Certified Machine Learning Engineer- Associate
https://youtu.be/ffqh46DUPz0

Webhooks for Data Engineers | System Design Concepts
https://youtu.be/BVTusf7vPt8

Introducing Databricks One | A Simple Way to Bring Data + AI to Every Business User
https://youtu.be/AlFDBDe30pc

API Gateway | System Design Concepts
https://youtu.be/y4AAKIjvC64

APIs for Data Engineers | System Design Concepts
https://youtu.be/UGXo3vQFx7o

🚀 Data is the Fuel 🛢️ that powers AI | The Secret Behind Smarter Machines 🤖
https://youtu.be/CVSIS89lQfo

🚀 Top 5 Kafka Use cases | Data Engineering Core Concepts
https://youtu.be/O6kXNzQCIxY

Module 2-Data Preparation and Feature Engineering- Data Encoding
https://youtu.be/Kp-SwhV_1_M

🚀 Normalization vs Denormalization | Pros, Cons&Real-World Examples | Data Engineering Core Concepts
https://youtu.be/sz23OBKB0qM

Partitioning vs Bucketing vs Clustering – What Every Data Engineer Must Know!
https://youtu.be/tvsAgQsmqfM

Row based vs Columnar Storage | Data Engineering Core Concept
https://youtu.be/hYe7yoZXXtU

Module 2-Data Preparation and Feature Engineering- Data imputation
https://youtu.be/Ip3EPqxi79k

Module 1-Data Preparation for Machine Learning: Load and Explore Data- DEMO
https://youtu.be/g7tCRuNdmUI

Module 1-Data Preparation for Machine Learning: Managing and Exploring Data
https://youtu.be/EDm07dSQVGI

#theDataChannel