This three-day course covers the introduction, planning, and implementation of HPE Ezmeral Data Fabric and includes lectures and lab activities (respectively 40/60). You will perform hands-on lab exercises covering the implementation, administration, maintenance, and troubleshooting of HPE Ezmeral Data Fabric.
Skills Gained
After you successfully complete this course, expect to be able to:
- Explain different types of storage workloads
- Describe different approaches to storing data
- Describe components of the HPE Ezmeral Data Fabric, Ecosystem packs and licensing
- Plan for security and high availability with HPE Ezmeral Data Fabric
- Describe various deployments and upgrade processes
- Explain the HPE Greenlake for Data Fabric platform
- Understand the administrative aspects of HPE Ezmeral
- Demonstrate an understanding of the maintenance operations
Who Can Benefit
The ideal candidate for this course is anyone who needs to learn to describe, position, recommend, and qualify an HPE Ezmeral Data Fabric solution to meet their customer’s technical and business requirements. Typical candidates for this course are Presales Solution Architects and Engineers, Data Engineers and MLOps Engineers with 3 to 5 years experience.
Topics
Software-defined storage and data analytics solution
- Types of storage workloads
- Distributed file systems, big data analytics, event streams, database …
- Object storage workloads
- Storage solutions (SAN, NAS) and purpose-built systems
- Client-side protocols and interfaces to software-defined storage
- Competitive comparison (Databricks, Cloudera, MinIO)
Introduction to HPE Ezmeral Data Fabric
- Challenges related to storing data in data-drive enterprise
- How HPE is addressing these challenges
- Components of the HPE Ezmeral Data Fabric
- File Store, Object Store, Database and Streams
- Kubernetes related functionality
- Analytics (Hadoop, Spark)
- Security concepts in HPE Ezmeral Data Fabric
- Data masking, ACE and Kerberos
- High-availability concepts in HPE Ezmeral Data Fabric
- Ezmeral Ecosystem Packs
- Licensing options
Planning the HPE Ezmeral Data Fabric
- Hardware requirements
- Planning the cluster and its nodes
- How licensing affect design
- Planning for security
- Planning the solution for high-availability
Implementing HPE Ezmeral Data Fabric
- Deployment models of HPE Ezmeral Data Fabric
- HPE Ezmeral Data Fabric implementation
- Installing core and ecosystem components
- Installing the HPE Ezmeral Data Fabric File Store
- Installing the HPE Ezmeral Data Fabric Object Store
- Installing Kubernetes Interfaces for Data Fabric
- Upgrade process, Upgrading Core, Upgrading Ecosystem Pack
- Migration process from Apache Hadoop
- Accessing HPE Ezmeral Data Fabric
- Set up the Control System
HPE GreenLake for Data Fabric
- HPE GreenLake platform
- HPE GreenLake cloud service offering data fabric
- Use cases for HPE GreenLake for Data Fabric
- Migrations to and from cloud environments
Administering HPE Ezmeral Data Fabric
- HPE Ezmeral Data Fabric
- Cluster and nodes, User management
- Volumes, Files, and directories
- Tables, Streams and Buckets
- Monitor the HPE Ezmeral Data Fabric solution
HPE Ezmeral Data Fabric maintenance and troubleshooting
- Maintenance operations
- Patching, Upgrading and Backup
- Troubleshoot HPE Ezmeral Data Fabric
- Object Store, File Store, Cluster
- Monitoring and troubleshooting features of Grafana and Kibana