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Book Synopsis Smarter Business: Dynamic Information with IBM InfoSphere Data Replication CDC by : Chuck Ballard
Download or read book Smarter Business: Dynamic Information with IBM InfoSphere Data Replication CDC written by Chuck Ballard and published by IBM Redbooks. This book was released on 2012-03-12 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: To make better informed business decisions, better serve clients, and increase operational efficiencies, you must be aware of changes to key data as they occur. In addition, you must enable the immediate delivery of this information to the people and processes that need to act upon it. This ability to sense and respond to data changes is fundamental to dynamic warehousing, master data management, and many other key initiatives. A major challenge in providing this type of environment is determining how to tie all the independent systems together and process the immense data flow requirements. IBM® InfoSphere® Change Data Capture (InfoSphere CDC) can respond to that challenge, providing programming-free data integration, and eliminating redundant data transfer, to minimize the impact on production systems. In this IBM Redbooks® publication, we show you examples of how InfoSphere CDC can be used to implement integrated systems, to keep those systems updated immediately as changes occur, and to use your existing infrastructure and scale up as your workload grows. InfoSphere CDC can also enhance your investment in other software, such as IBM DataStage® and IBM QualityStage®, IBM InfoSphere Warehouse, and IBM InfoSphere Master Data Management Server, enabling real-time and event-driven processes. Enable the integration of your critical data and make it immediately available as your business needs it.
Book Synopsis IBM InfoSphere Information Server Deployment Architectures by : Chuck Ballard
Download or read book IBM InfoSphere Information Server Deployment Architectures written by Chuck Ballard and published by IBM Redbooks. This book was released on 2013-01-17 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Typical deployment architectures introduce challenges to fully using the shared metadata platform across products, environments, and servers. Data privacy and information security requirements add even more levels of complexity. IBM® InfoSphere® Information Server provides a comprehensive, metadata-driven platform for delivering trusted information across heterogeneous systems. This IBM Redbooks® publication presents guidelines and criteria for the successful deployment of InfoSphere Information Server components in typical logical infrastructure topologies that use shared metadata capabilities of the platform, and support development lifecycle, data privacy, information security, high availability, and performance requirements. This book can help you evaluate information requirements to determine an appropriate deployment architecture, based on guidelines that are presented here, and that can fulfill specific use cases. It can also help you effectively use the functionality of your Information Server product modules and components to successfully achieve your business goals. This book is for IT architects, information management and integration specialists, and system administrators who are responsible for delivering the full suite of information integration capabilities of InfoSphere Information Server.
Book Synopsis Metadata Management with IBM InfoSphere Information Server by : Wei-Dong Zhu
Download or read book Metadata Management with IBM InfoSphere Information Server written by Wei-Dong Zhu and published by IBM Redbooks. This book was released on 2011-10-18 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: What do you know about your data? And how do you know what you know about your data? Information governance initiatives address corporate concerns about the quality and reliability of information in planning and decision-making processes. Metadata management refers to the tools, processes, and environment that are provided so that organizations can reliably and easily share, locate, and retrieve information from these systems. Enterprise-wide information integration projects integrate data from these systems to one location to generate required reports and analysis. During this type of implementation process, metadata management must be provided along each step to ensure that the final reports and analysis are from the right data sources, are complete, and have quality. This IBM® Redbooks® publication introduces the information governance initiative and highlights the immediate needs for metadata management. It explains how IBM InfoSphereTM Information Server provides a single unified platform and a collection of product modules and components so that organizations can understand, cleanse, transform, and deliver trustworthy and context-rich information. It describes a typical implementation process. It explains how InfoSphere Information Server provides the functions that are required to implement such a solution and, more importantly, to achieve metadata management. This book is for business leaders and IT architects with an overview of metadata management in information integration solution space. It also provides key technical details that IT professionals can use in a solution planning, design, and implementation process.
Book Synopsis InfoSphere DataStage for Enterprise XML Data Integration by : Chuck Ballard
Download or read book InfoSphere DataStage for Enterprise XML Data Integration written by Chuck Ballard and published by IBM Redbooks. This book was released on 2012-05-23 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: XML is one of the most common standards for the exchange of information. However, organizations find challenges in how to address the complexities of dealing with hierarchical data types, particularly as they scale to gigabytes and beyond. In this IBM® Redbooks® publication, we discuss and describe the new capabilities in IBM InfoSphere® DataStage® 8.5. These capabilities enable developers to more easily manage the design and processing requirements presented by the most challenging XML sources. Developers can use these capabilities to create powerful hierarchical transformations and to parse and compose XML data with high performance and scalability. Spanning both batch and real-time run times, these capabilities can be used to solve a broad range of business requirements. As part of the IBM InfoSphere Information Server 8.5 release, InfoSphere DataStage was enhanced with new hierarchical transformation capabilities called . XML Stage provides native XML schema support and powerful XML transformation functionality. These capabilities are based on a unique state-of-the-art technology that allows you to parse and compose any complex XML structure from and to a relational form, as well as to a separate hierarchical form. This book is targeted at an audience of systems designers and developers who focus on implementing XML integration support in their environments.
Book Synopsis Implementing an InfoSphere Optim Data Growth Solution by : Whei-Jen Chen
Download or read book Implementing an InfoSphere Optim Data Growth Solution written by Whei-Jen Chen and published by IBM Redbooks. This book was released on 2011-11-09 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, organizations face tremendous challenges with data explosion and information governance. InfoSphereTM OptimTM solutions solve the data growth problem at the source by managing the enterprise application data. The Optim Data Growth solutions are consistent, scalable solutions that include comprehensive capabilities for managing enterprise application data across applications, databases, operating systems, and hardware platforms. You can align the management of your enterprise application data with your business objectives to improve application service levels, lower costs, and mitigate risk. In this IBM® Redbooks® publication, we describe the IBM InfoSphere Optim Data Growth solutions and a methodology that provides implementation guidance from requirements analysis through deployment and administration planning. We also discuss various implementation topics including system architecture design, sizing, scalability, security, performance, and automation. This book is intended to provide various systems development professionals, Data Solution Architects, Data Administrators, Modelers, Data Analysts, Data Integrators, or anyone who has to analyze or integrate data structures, a broad understanding about IBM InfoSphere Optim Data Growth solutions. By being used in conjunction with the product manuals and online help, this book provides guidance about implementing an optimal solution for managing your enterprise application data.
Book Synopsis InfoSphere DataStage Parallel Framework Standard Practices by : Julius Lerm
Download or read book InfoSphere DataStage Parallel Framework Standard Practices written by Julius Lerm and published by IBM Redbooks. This book was released on 2013-02-12 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this IBM® Redbooks® publication, we present guidelines for the development of highly efficient and scalable information integration applications with InfoSphereTM DataStage® (DS) parallel jobs. InfoSphere DataStage is at the core of IBM Information Server, providing components that yield a high degree of freedom. For any particular problem there might be multiple solutions, which tend to be influenced by personal preferences, background, and previous experience. All too often, those solutions yield less than optimal, and non-scalable, implementations. This book includes a comprehensive detailed description of the components available, and descriptions on how to use them to obtain scalable and efficient solutions, for both batch and real-time scenarios. The advice provided in this document is the result of the combined proven experience from a number of expert practitioners in the field of high performance information integration, evolved over several years. This book is intended for IT architects, Information Management specialists, and Information Integration specialists responsible for delivering cost-effective IBM InfoSphere DataStage performance on all platforms.
Book Synopsis Deployment Guide for InfoSphere Guardium by : Whei-Jen Chen
Download or read book Deployment Guide for InfoSphere Guardium written by Whei-Jen Chen and published by IBM Redbooks. This book was released on 2015-04-14 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: IBM® InfoSphere® Guardium® provides the simplest, most robust solution for data security and data privacy by assuring the integrity of trusted information in your data center. InfoSphere Guardium helps you reduce support costs by automating the entire compliance auditing process across heterogeneous environments. InfoSphere Guardium offers a flexible and scalable solution to support varying customer architecture requirements. This IBM Redbooks® publication provides a guide for deploying the Guardium solutions. This book also provides a roadmap process for implementing an InfoSphere Guardium solution that is based on years of experience and best practices that were collected from various Guardium experts. We describe planning, installation, configuration, monitoring, and administrating an InfoSphere Guardium environment. We also describe use cases and how InfoSphere Guardium integrates with other IBM products. The guidance can help you successfully deploy and manage an IBM InfoSphere Guardium system. This book is intended for the system administrators and support staff who are responsible for deploying or supporting an InfoSphere Guardium environment.
Book Synopsis Implementing an IBM InfoSphere BigInsights Cluster using Linux on Power by : Dino Quintero
Download or read book Implementing an IBM InfoSphere BigInsights Cluster using Linux on Power written by Dino Quintero and published by IBM Redbooks. This book was released on 2015-06-16 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis IBM InfoSphere Information Server Installation and Configuration Guide by : Patrick (Danny) Owen
Download or read book IBM InfoSphere Information Server Installation and Configuration Guide written by Patrick (Danny) Owen and published by IBM Redbooks. This book was released on 2013-01-14 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® RedpaperTM publication provides suggestions, hints and tips, directions, installation steps, checklists of prerequisites, and configuration information collected from several IBM InfoSphere® Information Server experts. It is intended to minimize the time required to successfully install and configure InfoSphere Information Server. The information in this document is based on field experiences of experts who have implemented InfoSphere Information Server. As such, it is intended to supplement, and not replace, the product documentation. Discover the proven choices and combinations for installing InfoSphere Information Server that have been the most successful for the IBM InfoSphere Center Of Excellence. This paper includes a broad range of customer needs and experiences, with a focus on the following areas: InfoSphere Information Server architecture Checklists Prerequisites Configuration choices that work well together This paper is based on thousands of hours of production systems experience, from which you can now reap significant benefits.
Book Synopsis IBM InfoSphere DataStage Data Flow and Job Design by : IBM Redbooks
Download or read book IBM InfoSphere DataStage Data Flow and Job Design written by IBM Redbooks and published by Vervante. This book was released on 2008 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis IBM InfoSphere Streams: Accelerating Deployments with Analytic Accelerators by : Chuck Ballard
Download or read book IBM InfoSphere Streams: Accelerating Deployments with Analytic Accelerators written by Chuck Ballard and published by IBM Redbooks. This book was released on 2014-02-07 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® Redbooks® publication describes visual development, visualization, adapters, analytics, and accelerators for IBM InfoSphere® Streams (V3), a key component of the IBM Big Data platform. Streams was designed to analyze data in motion, and can perform analysis on incredibly high volumes with high velocity, using a wide variety of analytic functions and data types. The Visual Development environment extends Streams Studio with drag-and-drop development, provides round tripping with existing text editors, and is ideal for rapid prototyping. Adapters facilitate getting data in and out of Streams, and V3 supports WebSphere MQ, Apache Hadoop Distributed File System, and IBM InfoSphere DataStage. Significant analytics include the native Streams Processing Language, SPSS Modeler analytics, Complex Event Processing, TimeSeries Toolkit for machine learning and predictive analytics, Geospatial Toolkit for location-based applications, and Annotation Query Language for natural language processing applications. Accelerators for Social Media Analysis and Telecommunications Event Data Analysis sample programs can be modified to build production level applications. Want to learn how to analyze high volumes of streaming data or implement systems requiring high performance across nodes in a cluster? Then this book is for you.
Book Synopsis Addressing Data Volume, Velocity, and Variety with IBM InfoSphere Streams V3.0 by : Mike Ebbers
Download or read book Addressing Data Volume, Velocity, and Variety with IBM InfoSphere Streams V3.0 written by Mike Ebbers and published by IBM Redbooks. This book was released on 2013-03-12 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are multiple uses for big data in every industry—from analyzing larger volumes of data than was previously possible to driving more precise answers, to analyzing data at rest and data in motion to capture opportunities that were previously lost. A big data platform will enable your organization to tackle complex problems that previously could not be solved using traditional infrastructure. As the amount of data available to enterprises and other organizations dramatically increases, more and more companies are looking to turn this data into actionable information and intelligence in real time. Addressing these requirements requires applications that are able to analyze potentially enormous volumes and varieties of continuous data streams to provide decision makers with critical information almost instantaneously. IBM® InfoSphere® Streams provides a development platform and runtime environment where you can develop applications that ingest, filter, analyze, and correlate potentially massive volumes of continuous data streams based on defined, proven, and analytical rules that alert you to take appropriate action, all within an appropriate time frame for your organization. This IBM Redbooks® publication is written for decision-makers, consultants, IT architects, and IT professionals who will be implementing a solution with IBM InfoSphere Streams.
Book Synopsis Implementing IBM InfoSphere Change Data Capture for DB2 z/OS V6.5 by : Jason Arnold
Download or read book Implementing IBM InfoSphere Change Data Capture for DB2 z/OS V6.5 written by Jason Arnold and published by IBM Redbooks. This book was released on 2011-07-27 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Implementing IBM InfoSphere BigInsights on IBM System x by : Mike Ebbers
Download or read book Implementing IBM InfoSphere BigInsights on IBM System x written by Mike Ebbers and published by IBM Redbooks. This book was released on 2013-06-12 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Getting Started with IBM InfoSphere Optim Workload Replay for DB2 by : Whei-Jen Chen
Download or read book Getting Started with IBM InfoSphere Optim Workload Replay for DB2 written by Whei-Jen Chen and published by IBM Redbooks. This book was released on 2015-01-18 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® Redbooks® publication will help you install, configure, and use IBM InfoSphere® OptimTM Workload Replay (InfoSphere Workload Replay), a web-based tool that lets you capture real production SQL workload data and then replay the workload data in a pre-production environment. With InfoSphere Workload Replay, you can set up and run realistic tests for enterprise database changes without the need to create a complex client and application infrastructure to mimic your production environment. The publication goes through the steps to install and configure the InfoSphere Workload Replay appliance and related database components for IBM DB2® for Linux, UNIX, and Windows and for DB2 for IBM z/OS®. The capture, replay, and reporting process, including user ID and roles management, is described in detail to quickly get you up and running. Ongoing operations, such as appliance health monitoring, starting and stopping the product, and backup and restore in your day-to-day management of the product, extensive troubleshooting information, and information about how to integrate InfoSphere Workload Replay with other InfoSphere products are covered in separate chapters.
Book Synopsis IBM InfoSphere Streams: Assembling Continuous Insight in the Information Revolution by : Chuck Ballard
Download or read book IBM InfoSphere Streams: Assembling Continuous Insight in the Information Revolution written by Chuck Ballard and published by IBM Redbooks. This book was released on 2012-05-02 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this IBM® Redbooks® publication, we discuss and describe the positioning, functions, capabilities, and advanced programming techniques for IBM InfoSphereTM Streams (V2), a new paradigm and key component of IBM Big Data platform. Data has traditionally been stored in files or databases, and then analyzed by queries and applications. With stream computing, analysis is performed moment by moment as the data is in motion. In fact, the data might never be stored (perhaps only the analytic results). The ability to analyze data in motion is called real-time analytic processing (RTAP). IBM InfoSphere Streams takes a fundamentally different approach to Big Data analytics and differentiates itself with its distributed runtime platform, programming model, and tools for developing and debugging analytic applications that have a high volume and variety of data types. Using in-memory techniques and analyzing record by record enables high velocity. Volume, variety and velocity are the key attributes of Big Data. The data streams that are consumable by IBM InfoSphere Streams can originate from sensors, cameras, news feeds, stock tickers, and a variety of other sources, including traditional databases. It provides an execution platform and services for applications that ingest, filter, analyze, and correlate potentially massive volumes of continuous data streams. This book is intended for professionals that require an understanding of how to process high volumes of streaming data or need information about how to implement systems to satisfy those requirements. See: http://www.redbooks.ibm.com/abstracts/sg247865.html for the IBM InfoSphere Streams (V1) release.
Book Synopsis Smarter Modeling of IBM InfoSphere Master Data Management Solutions by : Jan-Bernd Bracht
Download or read book Smarter Modeling of IBM InfoSphere Master Data Management Solutions written by Jan-Bernd Bracht and published by IBM Redbooks. This book was released on 2012-08-09 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® Redbooks® publication presents a development approach for master data management projects, and in particular, those projects based on IBM InfoSphere® MDM Server. The target audience for this book includes Enterprise Architects, Information, Integration and Solution Architects and Designers, Developers, and Product Managers. Master data management combines a set of processes and tools that defines and manages the non-transactional data entities of an organization. Master data management can provide processes for collecting, consolidating, persisting, and distributing this data throughout an organization. IBM InfoSphere Master Data Management Server creates trusted views of master data that can improve applications and business processes. You can use it to gain control over business information by managing and maintaining a complete and accurate view of master data. You also can use InfoSphere MDM Server to extract maximum value from master data by centralizing multiple data domains. InfoSphere MDM Server provides a comprehensive set of prebuilt business services that support a full range of master data management functionality.
