Overview
Discover how the WEKA Data Platform transforms data silos into dynamic pipelines, optimizing GPU performance and streamlining AI, ML, and HPC workloads in modern cloud environments.
Syllabus
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- Introduction to Cloud Workloads and Data Management
-- Overview of cloud computing paradigms
-- The role of data in AI, ML, and HPC workloads
-- Challenges with traditional data silos
- Overview of the WEKA Data Platform
-- Introduction to WEKA's architecture and components
-- Key features and capabilities
- Transforming Data Silos into Dynamic Pipelines
-- Understanding data pipelines
-- Methods for integrating data silos
-- Use cases and examples of dynamic data pipelines
- Optimizing GPU Performance with WEKA
-- GPU architecture and its role in AI, ML, and HPC
-- Techniques for enhancing GPU performance
-- WEKA's optimization strategies and tools
- Streamlining AI and ML Workloads
-- Workflow management in the cloud
-- Best practices for deploying AI and ML workloads using WEKA
-- Case studies and real-world applications
- Enhancing HPC Workloads in Modern Cloud Environments
-- Characteristics of HPC workloads
-- Strategies for effective HPC deployment with WEKA
-- Real-life examples of HPC optimizations
- Integration and Implementation
-- Steps for integrating WEKA with existing infrastructure
-- Implementation guidelines and best practices
-- Tools for monitoring and performance evaluation
- Security and Compliance in Cloud Workloads
-- Security concerns in cloud data management
-- WEKA's approach to data security and compliance
-- Industry standards and compliance requirements
- Performance Tuning and Troubleshooting
-- Monitoring and performance metrics
-- Common issues and troubleshooting methods
-- Techniques for ongoing performance tuning
- Future Trends and Innovations
-- Emerging technologies in AI, ML, and HPC
-- Future developments in cloud data platforms
-- WEKA's roadmap and industry positioning
- Conclusion and Course Wrap-Up
-- Review of key concepts and takeaways
-- Additional resources and further reading
-- Participant feedback and discussions
Taught by
Tags
On-Demand
