Reinaldo Tetsuo Katahira's Books

IBM Power Systems for SAS Viya 3.5 Deployment Guide

By: 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 Redbooks

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IBM Power Systems for SAS Viya 3.5 Deployment Guide

This IBM® Redbooks® publication provides options and best practices for deploying SAS Viya 3.5 on IBM POWER9TM 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).

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IBM Redbooks

Published Date

ISBN 10

0738459623

ISBN 13

9780738459622

Implementing an Optimized Analytics Solution on IBM Power Systems

By: Dino Quintero,Kanako Harada,Reinaldo Tetsuo Katahira,Antonio Moreira de Oliveira Neto,Robert Simon,Brian Yaeger,IBM Redbooks

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Implementing an Optimized Analytics Solution on IBM Power Systems

By: Dino Quintero,Kanako Harada,Reinaldo Tetsuo Katahira,Antonio Moreira de Oliveira Neto,Robert Simon,Brian Yaeger,IBM Redbooks

This IBM® Redbooks® publication addresses topics to use the virtualization strengths of the IBM POWER8® platform to solve clients' system resource utilization challenges and maximize systems' throughput and capacity. This book addresses performance tuning topics that will help answer clients' complex analytic workload requirements, help maximize systems' resources, and provide expert-level documentation to transfer the how-to-skills to the worldwide teams. This book strengthens the position of IBM Analytics and Big Data solutions with a well-defined and documented deployment model within a POWER8 virtualized environment, offering clients a planned foundation for security, scaling, capacity, resilience, and optimization for analytics workloads. This book is targeted toward technical professionals (analytics consultants, technical support staff, IT Architects, and IT Specialists) who are responsible for providing analytics solutions and support on IBM Power SystemsTM.

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294

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IBM Redbooks

Published Date

ISBN 10

0738441686

ISBN 13

9780738441689

IBM Data Engine for Hadoop and Spark

By: Dino Quintero,Luis Bolinches,Aditya Gandakusuma Sutandyo,Nicolas Joly,Reinaldo Tetsuo Katahira,IBM Redbooks

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IBM Data Engine for Hadoop and Spark

By: Dino Quintero,Luis Bolinches,Aditya Gandakusuma Sutandyo,Nicolas Joly,Reinaldo Tetsuo Katahira,IBM Redbooks

This IBM® Redbooks® publication provides topics to help the technical community take advantage of the resilience, scalability, and performance of the IBM Power SystemsTM platform to implement or integrate an IBM Data Engine for Hadoop and Spark solution for analytics solutions to access, manage, and analyze data sets to improve business outcomes. This book documents topics to demonstrate and take advantage of the analytics strengths of the IBM POWER8® platform, the IBM analytics software portfolio, and selected third-party tools to help solve customer's data analytic workload requirements. This book describes how to plan, prepare, install, integrate, manage, and show how to use the IBM Data Engine for Hadoop and Spark solution to run analytic workloads on IBM POWER8. In addition, this publication delivers documentation to complement available IBM analytics solutions to help your data analytic needs. This publication strengthens the position of IBM analytics and big data solutions with a well-defined and documented deployment model within an IBM POWER8 virtualized environment so that customers have a planned foundation for security, scaling, capacity, resilience, and optimization for analytics workloads. This book is targeted at technical professionals (analytics consultants, technical support staff, IT Architects, and IT Specialists) that are responsible for delivering analytics solutions and support on IBM Power Systems.

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Page Count

126

Publisher

IBM Redbooks

Published Date

ISBN 10

0738441937

ISBN 13

9780738441931

Book's by Reinaldo Tetsuo Katahira

IBM Power Systems for SAS Viya 3.5 Deployment Guide

IBM Power Systems for SAS Viya 3.5 Deployment Guide

Implementing an Optimized Analytics Solution on IBM Power Systems

Implementing an Optimized Analytics Solution on IBM Power Systems

IBM Data Engine for Hadoop and Spark

IBM Data Engine for Hadoop and Spark

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