IBM Power Systems for SAS Viya 3.5 Deployment Guide IBM Power Systems for SAS Viya 3.5 Deployment Guide

IBM Power Systems for SAS Viya 3.5 Deployment Guide

Dino Quintero e outros

Descrição da editora

This IBM® Redbooks® publication provides options and best practices for deploying SAS Viya 3.5 on IBM POWER9™ servers.

SAS Viya is a complex set of artificial intelligence (AI) and analytics solutions that require a properly planned infrastructure to meet the needs of the data scientists, business analysts, and application developers who use Viya capabilities in their daily work activities.

Regardless of the user role, the underlying infrastructure matters to ensure performance expectations and service level agreement (SLA) requirements are met or exceeded. Although the general planning process is similar for deploying SAS Viya on any platform, key IBM POWER9 differentiators must be considered to ensure that an optimized infrastructure deployment is achieved.

This guide provides useful information that is needed during the planning, sizing, ordering, installing, configuring, and tuning phases of your SAS Viya deployment on POWER9 processor-based servers.

This book addresses topics for IT architects, IT specialists, developers, sellers, and anyone who wants to implement SAS Viya 3.5 on IBM POWER9 servers. Moreover, this publication provides documentation to transfer the how-to-skills to the technical teams, and solution guidance to the sales team.

This book compliments the documentation that is available in IBM Knowledge Center and aligns with the educational materials that are provided by the IBM Systems Software Education (SSE).

GÊNERO
Computadores e Internet
LANÇADO
2021
22 de abril
IDIOMA
EN
Inglês
PÁGINAS
58
EDITORA
IBM Redbooks
VENDEDOR
International Business Machines Corp
TAMANHO
2,9
MB

Mais livros de Dino Quintero, Adriano Almeida, Taragopal Chattopadhyay, Christopher Chung, Beth L. Hoffman, Pradyothan Jeedula, Sandy Kao, Reinaldo Tetsuo Katahira, Kurt Koehle, Abhijit Mane, Antonio Moreira de Oliveira Neto, Harry Seifert & Travis Siegfried

IBM PowerAI: Deep Learning Unleashed on IBM Power Systems Servers IBM PowerAI: Deep Learning Unleashed on IBM Power Systems Servers
2019
IBM Data Engine for Hadoop and Spark IBM Data Engine for Hadoop and Spark
2016
IBM Reference Architecture for  High Performance Data and AI in Healthcare and Life Sciences IBM Reference Architecture for  High Performance Data and AI in Healthcare and Life Sciences
2019
IBM Spectrum Scale (formerly GPFS) IBM Spectrum Scale (formerly GPFS)
2017
IBM Power Systems Virtualization Operation Management for SAP Applications IBM Power Systems Virtualization Operation Management for SAP Applications
2020
Implementing IBM VM Recovery Manager for IBM Power Systems Implementing IBM VM Recovery Manager for IBM Power Systems
2021