Overview

This learning path covers IBM Big data and AI and how it relates to IBM storage solutions - the course will take you through the following topics.

• Overview of IBM Spectrum Storage for big data POV
• Optimize AI and Analytics workloads with IBM's DAAA Storage Architecture
• Introduction to IBM Cloud Object storage and use cases
• Elastic Storage Server Overview
• Spectrum Scale and ESS implementation for real clients
• Modernizing high performance data and AI Architecture for health care and life sciences

Audience

IBM clients and Business Partners interested in IBM Storage solutions

Prerequisites

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Objective

• Overview of IBM Spectrum Storage for big data POV 
• Optimize AI and Analytics workloads with IBM's DAAA Storage Architecture 
• Introduction to IBM Cloud Object storage and use cases 
• Elastic Storage Server Overview 
• Spectrum Scale and ESS implementation for real clients 
• Modernizing high performance data and AI Architecture for health care and life sciences 

Course Outline

AI and BD 101: Overview of IBM Spectrum Storage for AI and big data POVAI and BD 141: Spectrum Scale for HPC and cognitive and other challenging workloadsOptimize AI and Analytics workloads with IBM's DAAA Storage architecture Introduction to Spectrum Scale and new featuresIBM Spectrum Archive 100: Use case stories: Tape tier solution for new and traditional workloads Introduction to IBM Cloud Object Storage and its Use CasesSpectrum Discover 201 - All about policy-driven reporting and data managementHow to design a Spectrum Scale environment: theory and best practicesHow do I choose a replication strategy with IBM Spectrum ScaleElastic Storage Server technical overviewSpectrum Scale and ESS implementation to real clientsModernizing the high-performance data and AI architecture for healthcare and life sciences