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  • 1
    Online Resource
    Online Resource
    Using IBM enterprise records (2015)
    Poughkeepsie, NY : IBM Corp., International Technical Support Organization
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Edition: Second edition.
    Series Statement: IBM redbooks
    Keywords: Management information systems ; Enterprise resource planning ; Electronic books ; Electronic books ; local
    Abstract: Records management helps users address evolving governance mandates to meet regulatory, legal, and fiduciary requirements. Proactive adherence to information retention policies and procedures is a critical facet of any compliance strategy. IBM® Enterprise Records helps organizations enforce centralized policy management for file plans, retention schedules, legal preservation holds, and auditing. IBM Enterprise Records enables your organization to securely capture, declare, classify, store, and dispose of electronic and physical records. In this IBM Redbooks® publication, we introduce the records management concept and provide an overview of IBM Enterprise Records. We address records management topics, including the retention schedule, file plan, records ingestion and declaration, records disposition, records hold, and Enterprise Records application programming interfaces (APIs). We also use a case study to describe step-by-step instructions to implement a sample records management solution using Enterprise Records. We provide concrete examples of how to perform tasks, such as file plan creation, records ingestion and declaration, records disposition, and records hold. This book helps you to understand the records management concept, the IBM Enterprise Records features and capabilities, and its use.
    Note: "Information management"--Cover. - Number on resource description page: SG24762301. - Description based on online resource; title from cover (Safari, viewed June 16, 2015)
    URL: https://learning.oreilly.com/library/view/-/9780738440712/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Leveraging DB2 10 for high performance of your data warehouse (2014)
    Poughkeepsie, NY : IBM Corp., International Technical Support Organization
    Details
    Language: English
    Pages: 1 online resource (1 v.) , ill.
    Edition: 1st ed.
    Series Statement: Redbooks
    Keywords: IBM Database 2 ; Database management ; Relational databases ; Electronic books ; Electronic books ; local
    Abstract: Building on the business intelligence (BI) framework and capabilities that are outlined in InfoSphere Warehouse: A Robust Infrastructure for Business Intelligence, SG24-7813, this IBM® Redbooks® publication focuses on the new business insight challenges that have arisen in the last few years and the new technologies in IBM DB2® 10 for Linux, UNIX, and Windows that provide powerful analytic capabilities to meet those challenges. This book is organized in to two parts. The first part provides an overview of data warehouse infrastructure and DB2 Warehouse, and outlines the planning and design process for building your data warehouse. The second part covers the major technologies that are available in DB2 10 for Linux, UNIX, and Windows. We focus on functions that help you get the most value and performance from your data warehouse. These technologies include database partitioning, intrapartition parallelism, compression, multidimensional clustering, range (table) partitioning, data movement utilities, database monitoring interfaces, infrastructures for high availability, DB2 workload management, data mining, and relational OLAP capabilities. A chapter on BLU Acceleration gives you all of the details about this exciting DB2 10.5 innovation that simplifies and speeds up reporting and analytics. Easy to set up and self-optimizing, BLU Acceleration eliminates the need for indexes, aggregates, or time-consuming database tuning to achieve top performance and storage efficiency. No SQL or schema changes are required to take advantage of this breakthrough technology. This book is primarily intended for use by IBM employees, IBM clients, and IBM Business Partners.
    Note: Number on resource description page: SG24-8157-00. - Description based on online resource; title from cover (Safari, viewed Jan. 23, 2014)
    URL: https://learning.oreilly.com/library/view/-/0738438979/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Query acceleration for business using IBM Informix warehouse accelerator (2013)
    Poughkeepsie, NY : IBM Corp., International Technical Support Organization
    Details
    Language: English
    Pages: 1 online resource (1 v.) , ill.
    Edition: 1st ed.
    Series Statement: IBM redbooks
    Keywords: Informix software ; Database management ; Application software ; Development ; Querying (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: IBM® Informix® Warehouse Accelerator is a state-of-the-art in-memory database that uses affordable innovations in memory and processor technology and trends in novel ways to boost query performance. It is a disruptive technology that changes how organizations provide analytics to its operational and historical data. Informix Warehouse Accelerator uses columnar, in-memory approach to accelerate even the most complex warehouse and operational queries without application changes or tuning. This IBM Redbooks® publication provides a comprehensive look at the technology and architecture behind the system. It contains information about the tools, data synchronization, and query processing capabilities of Informix Warehouse Accelerator, and provides steps to implement data analysis by using Informix Warehouse Accelerator within an organization. This book is intended for IBM Business Partners and clients who are looking for low-cost solutions to boost data warehouse query performance.
    Note: Number on resource description page: SG24-8150-00. - Includes bibliographical references. - Description based on online resource; title from cover page (Safari, viewed Jan. 31, 2014)
    URL: https://learning.oreilly.com/library/view/-/0738438928/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
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  • 4
    Online Resource
    Online Resource
    A practical guide to managing reference data with IBM InfoSphere Master Data Management reference data management hub (2013)
    Poughkeepsie, NY : IBM Corp., International Technical Support Organization
    Details
    Language: English
    Pages: 1 online resource (1 v.) , ill.
    Edition: 1st ed.
    Series Statement: IBM redbooks
    Keywords: IBM Information server ; Management information systems ; Database management ; Electronic books ; Electronic books ; local
    Abstract: IBM® InfoSphere® Master Data Management Reference Data Management Hub (InfoSphere MDM Ref DM Hub) is designed as a ready-to-run application that provides the governance, process, security, and audit control for managing reference data as an enterprise standard, resulting in fewer errors, reduced business risk and cost savings. This IBM Redbooks® publication describes where InfoSphere MDM Ref DM Hub fits into information management reference architecture. It explains the end-to-end process of an InfoSphere MDM Ref DM Hub implementation including the considerations of planning a reference data management project, requirements gathering and analysis, model design in detail, and integration considerations and scenarios. It then shows implementation examples and the ongoing administration tasks. This publication can help IT professionals who are interested or have a need to manage reference data efficiently and implement an InfoSphere MDM Ref DM Hub solution with ease.
    Note: Number on resource description page: SG24-8084-00. - Includes bibliographical references. - Description based on online resource; title from cover (Safari, viewed Dec. 11, 2013)
    URL: https://learning.oreilly.com/library/view/-/0738438022/?ar
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Online Resource
    Online Resource
    Systems of insight for digital transformation : using IBM Operational Decision Manager advanced and predictive analytics (2015)
    Poughkeepsie, NY : IBM Corporation, International Technical Support Organization
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Edition: First edition.
    Series Statement: IBM redbooks
    Keywords: Decision making ; Data processing ; Decision support systems ; IBM software ; Electronic books ; Electronic books ; local
    Abstract: Systems of record (SORs) are engines that generates value for your business. Systems of engagement (SOE) are always evolving and generating new customer-centric experiences and new opportunities to capitalize on the value in the systems of record. The highest value is gained when systems of record and systems of engagement are brought together to deliver insight. Systems of insight (SOI) monitor and analyze what is going on with various behaviors in the systems of engagement and information being stored or transacted in the systems of record. SOIs seek new opportunities, risks, and operational behavior that needs to be reported or have action taken to optimize business outcomes. Systems of insight are at the core of the Digital Experience, which tries to derive insights from the enormous amount of data generated by automated processes and customer interactions. Systems of Insight can also provide the ability to apply analytics and rules to real-time data as it flows within, throughout, and beyond the enterprise (applications, databases, mobile, social, Internet of Things) to gain the wanted insight. Deriving this insight is a key step toward being able to make the best decisions and take the most appropriate actions. Examples of such actions are to improve the number of satisfied clients, identify clients at risk of leaving and incentivize them to stay loyal, identify patterns of risk or fraudulent behavior and take action to minimize it as early as possible, and detect patterns of behavior in operational systems and transportation that lead to failures, delays, and maintenance and take early action to minimize risks and costs. IBM® Operational Decision Manager is a decision management platform that provides capabilities that support both event-driven insight patterns, and business-rule-driven scenarios. It also can easily be used in combination with other IBM Analytics solutions, as the detailed examples will show. IBM Operational Decision Manager Advanced, along with complementary IBM software offerings that also provide capability for systems of insight, provides a way to deliver the greatest value to your customers and your business. IBM Operational Decision Manager Advanced brings together data from different sources to recognize meaningful trends and patterns. It empowers business users to define, manage, and automate repeatable operational decisions. As a result, organizations can create and shape customer-centric business moments. This...
    Note: Number on resource description page: SG24829300. - Includes bibliographical references. - Description based on online resource; title from cover page (Safari, viewed January 22, 2016)
    URL: https://learning.oreilly.com/library/view/-/9780738441184/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
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  • 6
    Online Resource
    Online Resource
    Architecting and deploying IBM DB2 with BLU acceleration in your analytical environment (2014)
    Poughkeepsie, NY : IBM Corp., International Technical Support Organization
    Details
    Language: English
    Pages: 1 online resource (1 v.) , ill.
    Edition: 1st ed.
    Series Statement: IBM redbooks
    Keywords: IBM Database 2 ; Database management ; Client/server computing ; Electronic books ; Electronic books ; local
    Abstract: IBM® DB2® with BLU Acceleration is a revolutionary technology that is delivered in DB2 for Linux, UNIX, and Windows Release 10.5. BLU Acceleration delivers breakthrough performance improvements for analytic queries by using dynamic in-memory columnar technologies. Different from other vendor solutions, BLU Acceleration allows the unified computing of online transaction processing (OLTP) and analytics data inside a single database, therefore, removing barriers and accelerating results for users. With observed hundredfold improvement in query response time, BLU Acceleration provides a simple, fast, and easy-to-use solution for the needs of today's organizations; quick access to business answers can be used to gain a competitive edge, lower costs, and more. This IBM Redbooks® publication introduces the concepts of DB2 with BLU Acceleration. It discusses the steps to move from a relational database to using BLU Acceleration, optimizing BLU usage, and deploying BLU into existing analytic solutions today, with an example of IBM Cognos®. This book also describes integration of DB2 with BLU Acceleration into SAP Business Warehouse (SAP BW) and SAP's near-line storage solution on DB2. This publication is intended to be helpful to a wide-ranging audience, including those readers who want to understand the technologies and readers who have planning, deployment, and support responsibilities.
    Note: Number on resource description page: SG24-8212-00. - Includes bibliographical references. - Description based on online resource, title from cover page (Safari, viewed August 6, 2014)
    URL: https://learning.oreilly.com/library/view/-/0738439789/?ar
    Library Location Call Number Volume/Issue/Year Availability
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  • 7
    Online Resource
    Online Resource
    Building 360-degree information applications (2014)
    Poughkeepsie, NY : IBM Corp., International Technical Support Organization
    Details
    Language: English
    Pages: 1 online resource (1 v.) , ill.
    Edition: 2nd ed.
    Series Statement: IBM redbooks
    Keywords: Application software ; Development ; Business ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Today's businesses, applications, social media, and online transactions generate more data than ever before. This data can be explored and analyzed to provide tremendous business value. IBM® Watson™ Explorer and IBM InfoSphere® Master Data Management (InfoSphere MDM) enable organizations to simultaneously explore and derive insights from enterprise data that was traditionally stored in "silos" in enterprise applications, different data repositories, and in different data formats. This IBM Redbooks® publication provides information about Watson Explorer 9.0, InfoSphere MDM, and IBM InfoSphere MDM Probabilistic Matching Engine for InfoSphere BigInsights™ (PME for BigInsights). It gives you an overview, describes the architecture, and presents use cases that you can use to accomplish the following tasks: Understand the core capabilities of Watson Explorer, InfoSphere MDM, and PME for BigInsights. Realize the full potential of Watson Explorer applications. Describe the integration and value of the combination of Watson Explorer and InfoSphere MDM. Build a 360-degree information application. Learn by example by following hands-on lab scenarios. [/ul〉]
    Note: Number on resource description page: SG24-8133-01. - Includes bibliographical references. - Description based on online resource; title from cover (Safari, viewed Oct. 29, 2014)
    URL: https://learning.oreilly.com/library/view/-/0738439924/?ar
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  • 8
    Online Resource
    Online Resource
    Responsive mobile user experience using MQTT and IBM MessageSight (2014)
    Poughkeepsie, NY : IMB Corp., International Technical Support Organization
    Details
    Language: English
    Pages: 1 online resource (1 v.) , ill.
    Edition: 1st ed.
    Series Statement: IBM redbooks
    Keywords: MessageSight ; Computer network protocols ; Machine-to-machine communications ; Application software ; Mobile apps ; Electronic books ; Electronic books ; local
    Abstract: IBM® MessageSight is an appliance-based messaging server that is optimized to address the massive scale requirements of machine-to-machine (m2m) and mobile user scenarios. IBM MessageSight makes it easy to connect mobile customers to your existing messaging enterprise system, enabling a substantial number of remote clients to be concurrently connected. The MQTT protocol is a lightweight messaging protocol that uses publish/subscribe architecture to deliver messages over low bandwidth or unreliable networks. A publish/subscribe architecture works well for HTML5, native, and hybrid mobile applications by removing the wait time of a request/response model. This creates a better, richer user experience. The MQTT protocol is simple, which results in a client library with a low footprint. MQTT was proposed as an Organization for the Advancement of Structured Information Standards (OASIS) standard. This book provides information about version 3.1 of the MQTT specification. This IBM Redbooks® publication provides information about how IBM MessageSight, in combination with MQTT, facilitates the expansion of enterprise systems to include mobile devices and m2m communications. This book also outlines how to connect IBM MessageSight to an existing infrastructure, either through the use of IBM WebSphere® MQ connectivity or the IBM Integration Bus (formerly known as WebSphere Message Broker). This book describes IBM MessageSight product features and facilities that are relevant to technical personnel, such as system architects, to help them make informed design decisions regarding the integration of the messaging appliance into their enterprise architecture. Using a scenario-based approach, you learn how to develop a mobile application, and how to integrate IBM MessageSight with other IBM products. This publication is intended to be of use to a wide-ranging audience.
    Note: Number on resource description page: SG24-8183-00. - Description based on online resource; title from cover (Safari, viewed August 4, 2014)
    URL: https://learning.oreilly.com/library/view/-/0738439150/?ar
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  • 9
    Online Resource
    Online Resource
    Implementing an InfoSphere Optim data growth solution (2011)
    [United States] : IBM, International Technical Support Organization
    Details
    ISBN: 0738436135 , 9780738436135
    Language: English
    Pages: 1 online resource.
    Edition: 1st ed.
    Series Statement: Redbooks
    Parallel Title: Erscheint auch als
    DDC: 658.478
    Keywords: Business enterprises Computer networks ; Management ; Business enterprises Computer networks ; Security measures ; Information resources management ; Software architecture ; Business records Management ; Data processing ; IBM InfoSphere Optim (Computer program) ; Entreprises ; Réseaux d'ordinateurs ; Gestion ; Gestion de l'information ; Architecture logicielle ; Documents administratifs ; Gestion ; Informatique ; Business enterprises ; Computer networks ; Management ; Business enterprises ; Computer networks ; Security measures ; Business records ; Management ; Data processing ; Information resources management ; Software architecture
    Abstract: Today, organizations face tremendous challenges with data explosion and information governance. InfoSphere⁴́Ø Optim⁴́Ø 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℗ʼ Redbooks℗ʼ 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.
    Note: Includes bibliographical references
    URL: lizenzpflichtig
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  • 10
    Online Resource
    Online Resource
    DB2 UDB V8.2 on the Windows Environment (2004)
    [Erscheinungsort nicht ermittelbar] : IBM Redbooks | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (356 pages)
    Keywords: Electronic books ; local
    Abstract: IBM DB2 Universal Database Version 8.2 is another significant jump in DBRM technology. It delivers new features to address the ever-increasing demands and requirements of information management customers. This IBM Redbooks publication is an update of DB2 UDB Exploitation of the Windows Environment (SG24-6893), with a focus on DB2 UDB Version 8.2 functions and features. We illustrate, step-by-step, the installation and migration processes. The new autonomic computing technology that makes the DBA’s job easier is described in detail. The new security features and their integration with the Windows environment are discussed intensively. This book covers the new performance and monitoring enhancements of Version 8.2. New, exciting high availability functions are described in detail. Further, we discuss aspects of DB2 application development with .NET 2003 and Java and provide programming details using ADO.NET, CLR, and Java.
    Note: Online resource; Title from title page (viewed October 11, 2004) , Mode of access: World Wide Web.
    URL: https://learning.oreilly.com/library/view/-/0738491497/?ar
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