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Implementing an Optimized Analytics Solution on IBM Power Systems

2016-06-01 Computers
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Release : 2016-06-01
Genre : Computers
Kind : eBook
Book Rating : 686/5 ( reviews)

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Book Synopsis Implementing an Optimized Analytics Solution on IBM Power Systems by : Dino Quintero

Download or read book Implementing an Optimized Analytics Solution on IBM Power Systems written by Dino Quintero. This book was released on 2016-06-01. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Implementing an Optimized Analytics Solution on IBM Power Systems

2016 Client/server computing
Download Implementing an Optimized Analytics Solution on IBM Power Systems PDF Online Free

Author :
Release : 2016
Genre : Client/server computing
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Implementing an Optimized Analytics Solution on IBM Power Systems by : Dino Quintero

Download or read book Implementing an Optimized Analytics Solution on IBM Power Systems written by Dino Quintero. This book was released on 2016. Available in PDF, EPUB and Kindle. Book excerpt:

Enterprise Data Warehouse Optimization with Hadoop on IBM Power Systems Servers

2018-01-31 Computers
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Release : 2018-01-31
Genre : Computers
Kind : eBook
Book Rating : 608/5 ( reviews)

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Book Synopsis Enterprise Data Warehouse Optimization with Hadoop on IBM Power Systems Servers by : Scott Vetter

Download or read book Enterprise Data Warehouse Optimization with Hadoop on IBM Power Systems Servers written by Scott Vetter. This book was released on 2018-01-31. Available in PDF, EPUB and Kindle. Book excerpt: Data warehouses were developed for many good reasons, such as providing quick query and reporting for business operations, and business performance. However, over the years, due to the explosion of applications and data volume, many existing data warehouses have become difficult to manage. Extract, Transform, and Load (ETL) processes are taking longer, missing their allocated batch windows. In addition, data types that are required for business analysis have expanded from structured data to unstructured data. The Apache open source Hadoop platform provides a great alternative for solving these problems. IBM® has committed to open source since the early years of open Linux. IBM and Hortonworks together are committed to Apache open source software more than any other company. IBM Power SystemsTM servers are built with open technologies and are designed for mission-critical data applications. Power Systems servers use technology from the OpenPOWER Foundation, an open technology infrastructure that uses the IBM POWER® architecture to help meet the evolving needs of big data applications. The combination of Power Systems with Hortonworks Data Platform (HDP) provides users with a highly efficient platform that provides leadership performance for big data workloads such as Hadoop and Spark. This IBM RedpaperTM publication provides details about Enterprise Data Warehouse (EDW) optimization with Hadoop on Power Systems. Many people know Power Systems from the IBM AIX® platform, but might not be familiar with IBM PowerLinuxTM, so part of this paper provides a Power Systems overview. A quick introduction to Hadoop is provided for those not familiar with the topic. Details of HDP on Power Reference architecture are included that will help both software architects and infrastructure architects understand the design. In the optimization chapter, we describe various topics: traditional EDW offload, sizing guidelines, performance tuning, IBM Elastic StorageTM Server (ESS) for data-intensive workload, IBM Big SQL as the common structured query language (SQL) engine for Hadoop platform, and tools that are available on Power Systems that are related to EDW optimization. We also dedicate some pages to the analytics components (IBM Data Science Experience (IBM DSX) and IBM SpectrumTM Conductor for Spark workload) for the Hadoop infrastructure.

IBM Power Systems Performance Guide: Implementing and Optimizing

2013-05-01 Computers
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Release : 2013-05-01
Genre : Computers
Kind : eBook
Book Rating : 662/5 ( reviews)

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Book Synopsis IBM Power Systems Performance Guide: Implementing and Optimizing by : Dino Quintero

Download or read book IBM Power Systems Performance Guide: Implementing and Optimizing written by Dino Quintero. This book was released on 2013-05-01. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® Redbooks® publication addresses performance tuning topics to help leverage the virtualization strengths of the POWER® platform to solve clients' system resource utilization challenges, and maximize system throughput and capacity. We examine the performance monitoring tools, utilities, documentation, and other resources available to help technical teams provide optimized business solutions and support for applications running on IBM POWER systems' virtualized environments. The book offers application performance examples deployed on IBM Power SystemsTM utilizing performance monitoring tools to leverage the comprehensive set of POWER virtualization features: Logical Partitions (LPARs), micro-partitioning, active memory sharing, workload partitions, and more. We provide a well-defined and documented performance tuning model in a POWER system virtualized environment to help you plan a foundation for scaling, capacity, and optimization . This book targets technical professionals (technical consultants, technical support staff, IT Architects, and IT Specialists) responsible for providing solutions and support on IBM POWER systems, including performance tuning.

Implementing an IBM High-Performance Computing Solution on IBM Power System S822LC

2016-07-25 Computers
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Release : 2016-07-25
Genre : Computers
Kind : eBook
Book Rating : 872/5 ( reviews)

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Book Synopsis Implementing an IBM High-Performance Computing Solution on IBM Power System S822LC by : Dino Quintero

Download or read book Implementing an IBM High-Performance Computing Solution on IBM Power System S822LC written by Dino Quintero. This book was released on 2016-07-25. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® Redbooks® publication demonstrates and documents that IBM Power SystemsTM high-performance computing and technical computing solutions deliver faster time to value with powerful solutions. Configurable into highly scalable Linux clusters, Power Systems offer extreme performance for demanding workloads such as genomics, finance, computational chemistry, oil and gas exploration, and high-performance data analytics. This book delivers a high-performance computing solution implemented on the IBM Power System S822LC. The solution delivers high application performance and throughput based on its built-for-big-data architecture that incorporates IBM POWER8® processors, tightly coupled Field Programmable Gate Arrays (FPGAs) and accelerators, and faster I/O by using Coherent Accelerator Processor Interface (CAPI). This solution is ideal for clients that need more processing power while simultaneously increasing workload density and reducing datacenter floor space requirements. The Power S822LC offers a modular design to scale from a single rack to hundreds, simplicity of ordering, and a strong innovation roadmap for graphics processing units (GPUs). This publication is targeted toward technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) responsible for delivering cost effective high-performance computing (HPC) solutions that help uncover insights from their data so they can optimize business results, product development, and scientific discoveries

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