Implementing Ibm Infosphere Biginsights On Ibm System X
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Implementing Ibm Infosphere Biginsights On Ibm System X
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Author : Mike Ebbers
language : en
Publisher: IBM Redbooks
Release Date : 2013-06-12
Implementing Ibm Infosphere Biginsights On Ibm System X written by Mike Ebbers and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-12 with Computers categories.
As world activities become more integrated, the rate of data growth has been increasing exponentially. And as a result of this data explosion, current data management methods can become inadequate. People are using the term big data (sometimes referred to as Big Data) to describe this latest industry trend. IBM® is preparing the next generation of technology to meet these data management challenges. To provide the capability of incorporating big data sources and analytics of these sources, IBM developed a stream-computing product that is based on the open source computing framework Apache Hadoop. Each product in the framework provides unique capabilities to the data management environment, and further enhances the value of your data warehouse investment. In this IBM Redbooks® publication, we describe the need for big data in an organization. We then introduce IBM InfoSphere® BigInsightsTM and explain how it differs from standard Hadoop. BigInsights provides a packaged Hadoop distribution, a greatly simplified installation of Hadoop and corresponding open source tools for application development, data movement, and cluster management. BigInsights also brings more options for data security, and as a component of the IBM big data platform, it provides potential integration points with the other components of the platform. A new chapter has been added to this edition. Chapter 11 describes IBM Platform Symphony®, which is a new scheduling product that works with IBM Insights, bringing low-latency scheduling and multi-tenancy to IBM InfoSphere BigInsights. The book is designed for clients, consultants, and other technical professionals.
Implementing Ibm Infosphere Biginsights On Ibm System X
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Author : Mike Ebbers
language : en
Publisher:
Release Date : 2013
Implementing Ibm Infosphere Biginsights On Ibm System X written by Mike Ebbers and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Apache Hadoop categories.
As world activities become more integrated, the rate of data growth has been increasing exponentially. And as a result of this data explosion, current data management methods can become inadequate. People are using the term big data (sometimes referred to as Big Data) to describe this latest industry trend. IBM® is preparing the next generation of technology to meet these data management challenges. To provide the capability of incorporating big data sources and analytics of these sources, IBM developed a stream-computing product that is based on the open source computing framework Apache Hadoop. Each product in the framework provides unique capabilities to the data management environment, and further enhances the value of your data warehouse investment. In this IBM Redbooks® publication, we describe the need for big data in an organization. We then introduce IBM InfoSphere® BigInsights and explain how it differs from standard Hadoop. BigInsights provides a packaged Hadoop distribution, a greatly simplified installation of Hadoop and corresponding open source tools for application development, data movement, and cluster management. BigInsights also brings more options for data security, and as a component of the IBM big data platform, it provides potential integration points with the other components of the platform. A new chapter has been added to this edition. Chapter 11 describes IBM Platform Symphony®, which is a new scheduling product that works with IBM Insights, bringing low-latency scheduling and multi-tenancy to IBM InfoSphere BigInsights. The book is designed for clients, consultants, and other technical professionals.
Implementing An Ibm Infosphere Biginsights Cluster Using Linux On Power
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Author : Dino Quintero
language : en
Publisher: IBM Redbooks
Release Date : 2015-06-16
Implementing An Ibm Infosphere Biginsights Cluster Using Linux On Power written by Dino Quintero and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-16 with Computers categories.
This IBM® Redbooks® publication demonstrates and documents how to implement and manage an IBM PowerLinuxTM cluster for big data focusing on hardware management, operating systems provisioning, application provisioning, cluster readiness check, hardware, operating system, IBM InfoSphere® BigInsightsTM, IBM Platform Symphony®, IBM SpectrumTM Scale (formerly IBM GPFSTM), applications monitoring, and performance tuning. This publication shows that IBM PowerLinux clustering solutions (hardware and software) deliver significant value to clients that need cost-effective, highly scalable, and robust solutions for big data and analytics workloads. This book documents and addresses topics on how to use IBM Platform Cluster Manager to manage PowerLinux BigData data clusters through IBM InfoSphere BigInsights, Spectrum Scale, and Platform Symphony. This book documents how to set up and manage a big data cluster on PowerLinux servers to customize application and programming solutions, and to tune applications to use IBM hardware architectures. This document uses the architectural technologies and the software solutions that are available from IBM to help solve challenging technical and business problems. This book is targeted at technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) that are responsible for delivering cost-effective Linux on IBM Power SystemsTM solutions that help uncover insights among client's data so they can act to optimize business results, product development, and scientific discoveries.
Ibm Technical Computing Clouds
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Author : Dino Quintero
language : en
Publisher: IBM Redbooks
Release Date : 2013-10-28
Ibm Technical Computing Clouds written by Dino Quintero and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-28 with Computers categories.
This IBM® Redbooks® publication highlights IBM Technical Computing as a flexible infrastructure for clients looking to reduce capital and operational expenditures, optimize energy usage, or re-use the infrastructure. This book strengthens IBM SmartCloud® solutions, in particular IBM Technical Computing clouds, with a well-defined and documented deployment model within an IBM System x® or an IBM Flex SystemTM. This provides clients with a cost-effective, highly scalable, robust solution with a planned foundation for scaling, capacity, resilience, optimization, automation, and monitoring. This book is targeted toward technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) responsible for providing cloud-computing solutions and support.
Ibm Platform Computing Integration Solutions
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Author : Dino Quintero
language : en
Publisher:
Release Date : 2013
Ibm Platform Computing Integration Solutions written by Dino Quintero and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Computer networks categories.
This IBM® Redbooks® publication describes the integration of IBM Platform Symphony® with IBM BigInsights. It includes IBM Platform LSF® implementation scenarios that use IBM System x® technologies. This IBM Redbooks publication is written for consultants, technical support staff, IT architects, and IT specialists who are responsible for providing solutions and support for IBM Platform Computing solutions. This book explains how the IBM Platform Computing solutions and the IBM System x platform can help to solve customer challenges and to maximize systems throughput, capacity, and management. It examines the tools, utilities, documentation, and other resources that are available to help technical teams provide solutions and support for IBM Platform Computing solutions in a System x environment. In addition, this book includes a well-defined and documented deployment model within a System x environment. It provides a planned foundation for provisioning and building large scale parallel high-performance computing (HPC) applications, cluster management, analytics workloads, and grid applications.
Implementing Ibm Infosphere Change Data Capture For Db2 Z Os V6 5
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Author : Jason Arnold
language : en
Publisher: IBM Redbooks
Release Date : 2011-07-27
Implementing Ibm Infosphere Change Data Capture For Db2 Z Os V6 5 written by Jason Arnold and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-27 with Computers categories.
IBM® InfoSphereTM Change Data Capture for z/OS® uses log-based change data capture technology to provide low impact capture and rapid delivery of changes to and from DB2® z/OS in heterogeneous environments without impacting source systems. Customers get the up-to-date information they need to make actionable, trusted business decisions while optimizing MIPS costs. Change Data Capture can also be used to synchronize data in real time between multiple data environments to support active data warehousing, live reporting, operational business intelligence, application consolidations and migrations, master data management, and to deliver data to SOA environments. This IBM RedpaperTM document describes InfoSphere Change Data Capture, how to install and configure it, and how to migrate to the latest release.
Big Data Networked Storage Solution For Hadoop
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Author : Prem Jain
language : en
Publisher: IBM Redbooks
Release Date : 2013-07-12
Big Data Networked Storage Solution For Hadoop written by Prem Jain and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-12 with Computers categories.
This IBM® RedpaperTM provides a reference architecture, based on Apache Hadoop, to help businesses gain control over their data, meet tight service level agreements (SLAs) around their data applications, and turn data-driven insight into effective action. Big Data Networked Storage Solution for Hadoop delivers the capabilities for ingesting, storing, and managing large data sets with high reliability. IBM InfoSphere® Big InsightsTM provides an innovative analytics platform that processes and analyzes all types of data to turn large complex data into insight. IBM InfoSphere BigInsights brings the power of Hadoop to the enterprise. With built-in analytics, extensive integration capabilities, and the reliability, security and support that you require, IBM can help put your big data to work for you. This IBM Redpaper publication provides basic guidelines and best practices for how to size and configure Big Data Networked Storage Solution for Hadoop.
Ibm Platform Computing Integration Solutions
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Author : Dino Quintero
language : en
Publisher: IBM Redbooks
Release Date : 2013-05-01
Ibm Platform Computing Integration Solutions written by Dino Quintero and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-01 with Computers categories.
This IBM® Redbooks® publication describes the integration of IBM Platform Symphony® with IBM BigInsightsTM. It includes IBM Platform LSF® implementation scenarios that use IBM System x® technologies. This IBM Redbooks publication is written for consultants, technical support staff, IT architects, and IT specialists who are responsible for providing solutions and support for IBM Platform Computing solutions. This book explains how the IBM Platform Computing solutions and the IBM System x platform can help to solve customer challenges and to maximize systems throughput, capacity, and management. It examines the tools, utilities, documentation, and other resources that are available to help technical teams provide solutions and support for IBM Platform Computing solutions in a System x environment. In addition, this book includes a well-defined and documented deployment model within a System x environment. It provides a planned foundation for provisioning and building large scale parallel high-performance computing (HPC) applications, cluster management, analytics workloads, and grid applications.
Using Ibm System Z As The Foundation For Your Information Management Architecture
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Author : Alex Louwe Kooijmans
language : en
Publisher: IBM Redbooks
Release Date : 2011-04-08
Using Ibm System Z As The Foundation For Your Information Management Architecture written by Alex Louwe Kooijmans and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-08 with Computers categories.
Many companies have built data warehouses (DWs) and have embraced business intelligence (BI) and analytics solutions. Even as companies have accumulated huge amounts of data, however, it remains difficult to provide trusted information at the right time and in the right place. The amount of data collected and available throughout the enterprise continues to grow even as the complexity and urgency of receiving meaningful information continues to increase. Producing meaningful and trusted information when it is needed can only be achieved by having a proper information architecture in place and a powerful underlying infrastructure. The amounts of data to mine, cleanse, and integrate are becoming so large that increasingly the infrastructure is becoming the bottleneck. This results in low refresh rates of the data in the data warehouse and in not having the information available in time where it is needed. And even before information can become available in a BI dashboard or a report, many preceding steps must take place: the collection of raw data; integration of data from multiple data stores, business units or geographies; transformation of data from one format to another; cubing data into data cubes; and finally, loading changes to data in the data warehouse. Combining the complexity of the information requirements, the growing amounts of data, and multiple layers of the information architecture requires an extremely powerful infrastructure. This IBM® RedguideTM publication explains how you can use IBM System z® as the foundation for your information management architecture. The System z value proposition for information management is fueled by the traditional strengths of the IBM mainframe, the specific strengths of DB2® for z/OS®, and the broad functionality of the IBM information management software portfolio. For decades, System z has proven its ability to manage vast amounts of mission-critical data for many companies throughout the world; your data is safe on System z. The available information management functionality on System z has grown from database management systems to a full stack of solutions including solutions for content management, master data management, information integration, data warehousing, and business intelligence and analytics. The availability of Linux® on System z provides an excellent opportunity to place certain components in an easy-to-manage and scalable virtualized Linux server, while benefitting from the System z hardware strengths. DB2 on z/OS can remain the operational data store and the underlying database for the data warehouse. The next generation of System z is growing into a heterogeneous architecture with which you can take advantage of System z-managed "accelerators" running on IBM System x® or IBM Power Blades. The first of these accelerators is the IBM Smart Analytics Optimizer for DB2 for z/OS V1.1, an "all-in-one" solution in which System z, z/OS, DB2 on z/OS, an IBM BladeCenter®, and IBM storage work together to accelerate certain queries by one to two orders of magnitude. With the IBM Smart Analytics Optimizer, slices of data are periodically offloaded from DB2 on z/OS to the BladeCenter. After a query is launched against that data, it will automatically run against the data kept on the BladeCenter. The BladeCenter will process the query an order of magnitude faster than DB2 on z/OS, because all data is cached in internal memory on the BladeCenter and special compression techniques are used to keep the data footprint small and efficient. As a solid information management architecture ready for the future, System z has it all.
Implementing An Ibm Infosphere Biginsights Cluster Using Linux On Power
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Author : Dino Quintero
language : en
Publisher:
Release Date : 2015
Implementing An Ibm Infosphere Biginsights Cluster Using Linux On Power written by Dino Quintero and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.