Completed
SQL Server on Linux Same
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Microsoft SQL Server Machine Learning Workloads on Red Hat Enterprise Linux and Red Hat OpenShift
Automatically move to the next video in the Classroom when playback concludes
- 1 Intro
- 2 Session Evaluation
- 3 How businesses are using Al/ML
- 4 Al/ML Lifecycle and Key Personas
- 5 Key Execution Challenges
- 6 Fundamental Architecture Building Blocks
- 7 Red Hat and Microsoft enabled ML
- 8 Why AI/ML workloads need containers?
- 9 Why SQL Server Containers?
- 10 SQL Server on Linux Same
- 11 Bringing intelligence where the data lives
- 12 In-database Machine Learning
- 13 But, Where to run the containers?
- 14 Different personas have different needs
- 15 Meet the RHEL Container Tools
- 16 Why should you use Podman in RHEL?
- 17 Building for more agility and scale
- 18 Why OpenShift?
- 19 What's needed to put Kubernetes into production?
- 20 Red Hat OpenShift Kubernetes Platform
- 21 Microsoft SQL Server Big Data Clusters
- 22 Bringing it all together
- 23 Deliver intelligent apps faster with Red Hat + Microsoft
