IBM Solution: Cloud Pak for Data and IIAS Best Practice Quick Start2019-09-20T03:01:43-06:00

IBM SOLUTION:

Cloud Pak for Data and IIAS Best Practice Quick Start

iOLAP’s Best Practice Quick Start session is designed to educate customers and prospects on the value of IBM’s Cloud Pak for Data Performance Server System and Integrated Analytics System (IIAS) along with the best practice guidelines for implementing, maintaining and securing the systems.

Whether you are new to the appliance form factor or are upgrading from Netezza (or another system), iOLAP’s Best Practice Quick Start is designed to assist customer in getting acquainted with and acclimated to the Cloud Pak for Data Performance Server and IIAS platform as quickly and efficiently as possible.

Like Netezza, Cloud Pak for Data and the Integrated Analytics System (IIAS) were purpose built for analytics. However, the platforms extend those capabilities even further. Cloud Pak offers within a single unified platform built-in governance, data virtualization and cloud-native agility. Likewise, IIAS is efficient at both operational/transaction workloads and has Spark integration and the ability to process Data Science workloads via IIAS resources and Data Science Experience.

The Quick Start will focus on four major themes:

Discovery and review of the IBM’s Cloud Pak offering and/or Hybrid Data Management Platform

Overview of the Cloud Pak for Data Performance Server and/or Integrated Analytics System (IIAS) Architecture

Administration

Best Practice and Managed Service

Discovery and review of the IBM’s Cloud Pak offering and/or Hybrid Data Management Platform

This will guide customers through the development of the Cloud Pak for Data ecosystem and/or IIAS, the next generation Netezza platforms, as well as focus on some of the key related technologies and benefits.

Overview of the Cloud Pak for Data Performance Server and/or Integrated Analytics System (IIAS) Architecture

Detailed review of the systems and their key capabilities.

Administration

Educate customer on key administrative capabilities and techniques.

Best Practice and Managed Service

This track provides a continuance of reviewing best practice techniques and strategies and well as approaches for managing post implementation.
This will guide customers through the development of the Cloud Pak for Data ecosystem and/or IIAS, the next generation Netezza platforms, as well as focus on some of the key related technologies and benefits.
Detailed review of the systems and their key capabilities.
Educate customer on key administrative capabilities and techniques.
This track provides a continuance of reviewing best practice techniques and strategies and well as approaches for managing post implementation.

DAY 1

Cloud Pak and HYBRID DATA MANAGEMENT OVERVIEW

These systems are small components of IBM’s Cloud Pak and Hybrid Data Management offerings. This track covers an in-depth overview of the following:

  • Cloud Pak overview
  • Cloud Pak for Data overview and Performance Server
  • Data governance and virtualization
  • Convergence with Netezza
  • Hybrid data management solutions and the Common SQL Engine
  • Integrated Analytics System
  • Hardware and software architecture
  • Db2 Warehouse on Cloud
  • Data Science Experience and Spark integration

SYSTEM – OVERVIEW

The overview track provides a hands-on overview with a live connection to the system:

  • Management console overview
  • Monitoring
  • Backup, restore, and disaster recovery
  • Upgrading
  • Software

ADMINISTRATION

The administration track provides a detailed overview of key administrative techniques:

  • Administration console overview
  • Performance Server and/or Db2 warehouse console overview
  • System and workload monitoring
  • Performance tuning
  • Workload management

DAY 2

ADMINISTRATION CONTINUED

This track is a continuation of the coverage of key administrative techniques:

  • System and workload monitoring
  • Performance tuning
  • Workload management

BEST PRACTICE AND MANAGED SERVICE

The best practice and managed service track provides an overview of best practice techniques and strategies:

  • Customer specific DR/backup strategies
  • Optimization
  • Capacity planning
  • High availability