Using Zenterprise For Smart Analytics Volume 2 Implementation
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Using Zenterprise For Smart Analytics Volume 2 Implementation
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Author : Mike Ebbers
language : en
Publisher: IBM Redbooks
Release Date : 2013-04-23
Using Zenterprise For Smart Analytics Volume 2 Implementation 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 2013-04-23 with Computers categories.
This IBM® Redbooks® publication series explains the assessment and implementation of a workload, integrated within IBM Smarter Banking® Showcase, and hosted at IBM Montpellier, France. Intended for decision-makers, consultants, architects, administrators, and specialists, this book is the second volume in a series of two: Assessment: Volume 1 (SG24-8007) describes how to evaluate the requirements of a new Smarter Analytics workload, addressing the user, system resources, and data processing profiles to identify the most optimal configuration by using IBM methodologies, such as fit-for-purpose. Given that the existing showcase is based on the IBM zEnterprise® System, deployment options include IBM z/OS®, Linux on IBM System z®, IBM AIX® running on IBM POWER® processor-based blades within the zEnterprise BladeCenter® Extension (zBX), and Windows Server 2008 running on System x® and BladeCenter blades also within zBX. Implementation: Volume 2 (SG24-8008), which you are reading, describes the setups that are involved in deploying the Smarter Analytics workload within the showcase. With multiple components, including IBM Cognos® BI, IBM Cognos TM1®, Cognos Metric Studio, IBM DB2® for z/OS, and a number of application design tools, the workload spans multiple operating environments. The use of application clustering, setting up performance policies by using Unified Resource Manager, and simulation test execution results are included.
Real Time Fraud Detection Analytics On Ibm System Z
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Author : Mike Ebbers
language : en
Publisher: IBM Redbooks
Release Date : 2013-04-11
Real Time Fraud Detection Analytics On Ibm System Z 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 2013-04-11 with Computers categories.
Payment fraud can be defined as an intentional deception or misrepresentation that is designed to result in an unauthorized benefit. Fraud schemes are becoming more complex and difficult to identify. It is estimated that industries lose nearly $1 trillion USD annually because of fraud. The ideal solution is where you avoid making fraudulent payments without slowing down legitimate payments. This solution requires that you adopt a comprehensive fraud business architecture that applies predictive analytics. This IBM® Redbooks® publication begins with the business process flows of several industries, such as banking, property/casualty insurance, and tax revenue, where payment fraud is a significant problem. This book then shows how to incorporate technological advancements that help you move from a post-payment to pre-payment fraud detection architecture. Subsequent chapters describe a solution that is specific to the banking industry that can be easily extrapolated to other industries. This book describes the benefits of doing fraud detection on IBM System z®. This book is intended for financial decisionmakers, consultants, and architects, in addition to IT administrators.
Risk Scoring For A Loan Application On Ibm System Z Running Ibm Spss Real Time Analytics
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Author : Mike Ebbers
language : en
Publisher: IBM Redbooks
Release Date : 2013-10-02
Risk Scoring For A Loan Application On Ibm System Z Running Ibm Spss Real Time Analytics 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 2013-10-02 with Computers categories.
When ricocheting a solution that involves analytics, the mainframe might not be the first platform that comes to mind. However, the IBM® System z® group has developed some innovative solutions that include the well-respected mainframe benefits. This book describes a workshop that demonstrates the use of real-time advanced analytics for enhancing core banking decisions using a loan origination example. The workshop is a live hands-on experience of the entire process from analytics modeling to deployment of real-time scoring services for use on IBM z/OS®. In this IBM Redbooks® publication, we include a facilitator guide chapter as well as a participant guide chapter. The facilitator guide includes information about the preparation, such as the needed material, resources, and steps to set up and run this workshop. The participant guide shows step-by-step the tasks for a successful learning experience. The goal of the first hands-on exercise is to learn how to use IBM SPSS® Modeler for Analytics modeling. This provides the basis for the next exercise "Configuring risk assessment in SPSS Decision Management". In the third exercise, the participant experiences how real-time scoring can be implemented on a System z. This publication is written for consultants, IT architects, and IT administrators who want to become familiar with SPSS and analytics solutions on the System z.
Using Zenterprise For Smarter Analytics
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Author :
language : en
Publisher:
Release Date : 2013
Using Zenterprise For Smarter Analytics written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
Using Zenterprise For Smart Analytics
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Author : Alex Kooijmans
language : en
Publisher:
Release Date : 2013
Using Zenterprise For Smart Analytics written by Alex Kooijmans and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
This IBM® Redbooks® publication is the first of two volumes explaining the approach and implementation of a new hybrid workload integrated in the existing IBM Smarter Banking® showcase, which is hosted at IBM in Montpellier, France. The volumes contain the following information. Volume 1 Assessment describes how to evaluate the requirements of a new IBM Smarter AnalyticsTM workload. It addresses the user, system resources, and data processing profiles to identify the optimal configuration using IBM methodologies, such as Fit for Purpose (F4P). Because the existing showcase is based on IBM zEnterprise®, the deployment options include IBM z/OS®, Linux on IBM System z®, IBM AIX® running on POWER7® blades within the zEnterprise BladeCenter® Extension (zBX), and Microsoft Windows 2008 Server running on Intel blades also within zBX. Volume 2 Implementation describes the steps involved in deploying the Smarter Analytics workload in the showcase. With multiple components, including IBM Cognos® 10.1 Business Intelligence, IBM Cognos TM1®, Cognos Metrics Studio, IBM SPSS®, IBM DB2® for z/OS, and many application design tools, the workload spans multiple operating environments. Application clustering, setting up performance policies using Unified Resource Manager, and simulation test execution results are included. This book is intended for an audience of professionals in an infrastructure architecture role. However, architects with a focus on business intelligence and analytics, as well as IT managers, will find value in reading this book. If you want to see this solution in action, contact your IBM representative or send an email directly to [email protected].
Using Zenterprise For Smart Analytics
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Author : IBM Redbooks
language : en
Publisher: Vervante
Release Date : 2013
Using Zenterprise For Smart Analytics written by IBM Redbooks and has been published by Vervante this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Computers categories.
Ibm Smart Analytics System
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Author : Whei-Jen Chen
language : en
Publisher: IBM Redbooks
Release Date : 2011-08-24
Ibm Smart Analytics System written by Whei-Jen Chen and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-24 with Computers categories.
The IBM® Smart Analytics System is a fully-integrated and scalable data warehouse solution that combines software, server, and storage resources to offer optimal business intelligence and information management performance for enterprises. This IBM Redbooks® publication introduces the architecture and components of the IBM Smart Analytics System family. We describe the installation and configuration of the IBM Smart Analytics System and show how to manage the systems effectively to deliver an enterprise class service. This book explains the importance of integrating the IBM Smart Analytics System with the existing IT environment, as well as how to leverage investments in security, monitoring, and backup infrastructure. We discuss the monitoring tools for both operating systems and DB2®. Advance configuration, performance troubleshooting, and tuning techniques are also discussed. This book is targeted at the architects and specialists who need to know the concepts and the detailed instructions for a successful Smart Analytics System implementation and operation.
Applications Of Big Data Analytics
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Author : Mohammed M. Alani
language : en
Publisher: Springer
Release Date : 2018-07-23
Applications Of Big Data Analytics written by Mohammed M. Alani and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-23 with Computers categories.
This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data, together with valuable insights into the challenges inherent in current approaches and systems. This is further supported by real-world examples drawn from a broad range of application areas, including healthcare, education, and disaster management. The text also covers, typically from an application-oriented perspective, advances in data science in such areas as big data collection, searching, analysis, and knowledge discovery. Topics and features: Discusses a model for data traffic aggregation in 5G cellular networks, and a novel scheme for resource allocation in 5G networks with network slicing Explores methods that use big data in the assessment of flood risks, and apply neural networks techniques to monitor the safety of nuclear power plants Describes a system which leverages big data analytics and the Internet of Things in the application of drones to aid victims in disaster scenarios Proposes a novel deep learning-based health data analytics application for sleep apnea detection, and a novel pathway for diagnostic models of headache disorders Reviews techniques for educational data mining and learning analytics, and introduces a scalable MapReduce graph partitioning approach for high degree vertices Presents a multivariate and dynamic data representation model for the visualization of healthcare data, and big data analytics methods for software reliability assessment This practically-focused volume is an invaluable resource for all researchers, academics, data scientists and business professionals involved in the planning, designing, and implementation of big data analytics projects. Dr. Mohammed M. Alani is an Associate Professor in Computer Engineering and currently is the Provost at Al Khawarizmi International College, Abu Dhabi, UAE. Dr. Hissam Tawfik is a Professor of Computer Science in the School of Computing, Creative Technologies & Engineering at Leeds Beckett University, UK. Dr. Mohammed Saeed is a Professor in Computing and currently is the Vice President for Academic Affairs and Research at the University of Modern Sciences, Dubai, UAE. Dr. Obinna Anya is a Research Staff Member at IBM Research – Almaden, San Jose, CA, USA.
Handbook Of Big Data Analytics
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Author : Vadlamani Ravi
language : en
Publisher: IET
Release Date : 2021-07-09
Handbook Of Big Data Analytics written by Vadlamani Ravi and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-09 with Computers categories.
This comprehensive edited 2-volume handbook provides a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics. The first volume presents methodologies that support Big Data analytics, while the second volume offers a wide range of Big Data analytics applications.