Ibm Information Governance Solutions

Ibm Information Governance Solutions Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Ibm Information Governance Solutions book. This book definitely worth reading, it is an incredibly well-written.

IBM Information Governance Solutions

Author : Chuck Ballard,John Baldwin,Alex Baryudin,Gary Brunell,Christopher Giardina,Marc Haber,Erik A O'neill,Sandeep Shah,IBM Redbooks
Publisher : IBM Redbooks
Page : 268 pages
File Size : 51,8 Mb
Release : 2014-04-04
Category : Computers
ISBN : 9780738439518

Get Book

IBM Information Governance Solutions by Chuck Ballard,John Baldwin,Alex Baryudin,Gary Brunell,Christopher Giardina,Marc Haber,Erik A O'neill,Sandeep Shah,IBM Redbooks Pdf

Managing information within the enterprise has always been a vital and important task to support the day-to-day business operations and to enable analysis of that data for decision making to better manage and grow the business for improved profitability. To do all that, clearly the data must be accurate and organized so it is accessible and understandable to all who need it. That task has grown in importance as the volume of enterprise data has been growing significantly (analyst estimates of 40 - 50% growth per year are not uncommon) over the years. However, most of that data has been what we call "structured" data, which is the type that can fit neatly into rows and columns and be more easily analyzed. Now we are in the era of "big data." This significantly increases the volume of data available, but it is in a form called "unstructured" data. That is, data from sources that are not as easily organized, such as data from emails, spreadsheets, sensors, video, audio, and social media sites. There is valuable information in all that data but it calls for new processes to enable it to be analyzed. All this has brought with it a renewed and critical need to manage and organize that data with clarity of meaning, understandability, and interoperability. That is, you must be able to integrate this data when it is from within an enterprise but also importantly when it is from many different external sources. What is described here has been and is being done to varying extents. It is called "information governance." Governing this information however has proven to be challenging. But without governance, much of the data can be less useful and perhaps even used incorrectly, significantly impacting enterprise decision making. So we must also respect the needs for information security, consistency, and validity or else suffer the potential economic and legal consequences. Implementing sound governance practices needs to be an integral part of the information control in our organizations. This IBM® Redbooks® publication focuses on the building blocks of a solid governance program. It examines some familiar governance initiative scenarios, identifying how they underpin key governance initiatives, such as Master Data Management, Quality Management, Security and Privacy, and Information Lifecycle Management. IBM Information Management and Governance solutions provide a comprehensive suite to help organizations better understand and build their governance solutions. The book also identifies new and innovative approaches that are developed by IBM practice leaders that can help as you implement the foundation capabilities in your organizations.

IBM Information Governance Solutions

Author : Chuck Ballard
Publisher : Unknown
Page : 268 pages
File Size : 55,9 Mb
Release : 2014
Category : Big data
ISBN : OCLC:1105772573

Get Book

IBM Information Governance Solutions by Chuck Ballard Pdf

Implementing sound governance practices needs to be an integral part of the information control in our organizations. This IBM Redbooks publication focuses on the building blocks of a solid governance program. It examines some familiar governance initiative scenarios, identifying how they underpin key governance initiatives, such as Master Data Management, quality management, security and privacy, and information lifecycle management. This book's solutions provide a comprehensive suite to help organizations better understand and build their governance solutions. It also identifies new and innovative approaches that are developed by IBM practice leaders that can help as you implement the foundation capabilities in your organizations. --

Information Governance Principles and Practices for a Big Data Landscape

Author : Chuck Ballard,Cindy Compert,Tom Jesionowski,Ivan Milman,Bill Plants,Barry Rosen,Harald Smith,IBM Redbooks
Publisher : IBM Redbooks
Page : 280 pages
File Size : 41,8 Mb
Release : 2014-03-31
Category : Computers
ISBN : 9780738439594

Get Book

Information Governance Principles and Practices for a Big Data Landscape by Chuck Ballard,Cindy Compert,Tom Jesionowski,Ivan Milman,Bill Plants,Barry Rosen,Harald Smith,IBM Redbooks Pdf

This IBM® Redbooks® publication describes how the IBM Big Data Platform provides the integrated capabilities that are required for the adoption of Information Governance in the big data landscape. As organizations embark on new use cases, such as Big Data Exploration, an enhanced 360 view of customers, or Data Warehouse modernization, and absorb ever growing volumes and variety of data with accelerating velocity, the principles and practices of Information Governance become ever more critical to ensure trust in data and help organizations overcome the inherent risks and achieve the wanted value. The introduction of big data changes the information landscape. Data arrives faster than humans can react to it, and issues can quickly escalate into significant events. The variety of data now poses new privacy and security risks. The high volume of information in all places makes it harder to find where these issues, risks, and even useful information to drive new value and revenue are. Information Governance provides an organization with a framework that can align their wanted outcomes with their strategic management principles, the people who can implement those principles, and the architecture and platform that are needed to support the big data use cases. The IBM Big Data Platform, coupled with a framework for Information Governance, provides an approach to build, manage, and gain significant value from the big data landscape.

Metadata Management with IBM InfoSphere Information Server

Author : Wei-Dong Zhu,Tuvia Alon,Gregory Arkus,Randy Duran,Marc Haber,Robert Liebke,Frank Morreale Jr.,Itzhak Roth,Alan Sumano,IBM Redbooks
Publisher : IBM Redbooks
Page : 458 pages
File Size : 49,7 Mb
Release : 2011-10-18
Category : Computers
ISBN : 9780738435992

Get Book

Metadata Management with IBM InfoSphere Information Server by Wei-Dong Zhu,Tuvia Alon,Gregory Arkus,Randy Duran,Marc Haber,Robert Liebke,Frank Morreale Jr.,Itzhak Roth,Alan Sumano,IBM Redbooks Pdf

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.

Implementing an InfoSphere Optim Data Growth Solution

Author : Whei-Jen Chen,David Alley,Barbara Brown,Sunil Dravida,Saunnie Dunne,Tom Forlenza,Pamela S Hoffman,Tejinder S Luthra,Rajat Tiwary,Claudio Zancani,IBM Redbooks
Publisher : IBM Redbooks
Page : 548 pages
File Size : 50,9 Mb
Release : 2011-11-09
Category : Computers
ISBN : 9780738436135

Get Book

Implementing an InfoSphere Optim Data Growth Solution by Whei-Jen Chen,David Alley,Barbara Brown,Sunil Dravida,Saunnie Dunne,Tom Forlenza,Pamela S Hoffman,Tejinder S Luthra,Rajat Tiwary,Claudio Zancani,IBM Redbooks Pdf

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.

IBM InfoSphere

Author : Sunil Soares
Publisher : MC Press
Page : 102 pages
File Size : 51,6 Mb
Release : 2013
Category : Computers
ISBN : 1583473823

Get Book

IBM InfoSphere by Sunil Soares Pdf

Written by a leading expert in the field of information governance, this book is the only available that focuses specifically on IBM solutions and the convergence of two major trends in information management today: big data and information governance. Nontechnical in nature and geared toward business audiences responsible for the analytics of big data, the book provides a big data governance framework with three dimensions: big data types, information governance disciplines, and industries and functions. Practitioners can use the knowledge presented in this book to understand big data support across the IBM InfoSphere portfolio, including DataStage, Streams, QualityStage, MDM, Guardium, Optim, and Data Explorer. They will also learn about the integration between IBM Business Process Manager Express and IBM InfoSphere in terms of integrating information governance, big data, and business process management.

Smarter Modeling of IBM InfoSphere Master Data Management Solutions

Author : Jan-Bernd Bracht,Joerg Rehr,Markus Siebert,Rouven Thimm,IBM Redbooks
Publisher : IBM Redbooks
Page : 596 pages
File Size : 41,7 Mb
Release : 2012-08-09
Category : Computers
ISBN : 9780738436807

Get Book

Smarter Modeling of IBM InfoSphere Master Data Management Solutions by Jan-Bernd Bracht,Joerg Rehr,Markus Siebert,Rouven Thimm,IBM Redbooks Pdf

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.

IBM Information Server: Integration and Governance for Emerging Data Warehouse Demands

Author : Chuck Ballard,Manish Bhide,Holger Kache,Bob Kitzberger,Beate Porst,Yeh-Heng Sheng,Harald C. Smith,IBM Redbooks
Publisher : IBM Redbooks
Page : 194 pages
File Size : 46,9 Mb
Release : 2013-07-10
Category : Computers
ISBN : 9780738438498

Get Book

IBM Information Server: Integration and Governance for Emerging Data Warehouse Demands by Chuck Ballard,Manish Bhide,Holger Kache,Bob Kitzberger,Beate Porst,Yeh-Heng Sheng,Harald C. Smith,IBM Redbooks Pdf

This IBM® Redbooks® publication is intended for business leaders and IT architects who are responsible for building and extending their data warehouse and Business Intelligence infrastructure. It provides an overview of powerful new capabilities of Information Server in the areas of big data, statistical models, data governance and data quality. The book also provides key technical details that IT professionals can use in solution planning, design, and implementation.

Performing Information Governance

Author : Anthony David Giordano
Publisher : IBM Press
Page : 673 pages
File Size : 46,9 Mb
Release : 2014-09-11
Category : Business & Economics
ISBN : 9780133385632

Get Book

Performing Information Governance by Anthony David Giordano Pdf

Make Information Governance Work: Best Practices, Step-by-Step Tasks, and Detailed Deliverables Most enterprises recognize the crucial importance of effective information governance. However, few are satisfied with the value of their efforts to date. Information governance is difficult because it is a pervasive function, touching multiple processes, systems, and stakeholders. Fortunately, there are best practices that work. Now, a leading expert in the field offers a complete, step-by-step guide to successfully governing information in your organization. Using case studies and hands-on activities, Anthony Giordano fully illuminates the “who, what, how, and when” of information governance. He explains how core governance components link with other enterprise information management disciplines, and provides workable “job descriptions” for each project participant. Giordano helps you successfully integrate key data stewardship processes as you develop large-scale applications and Master Data Management (MDM) environments. Then, once you’ve deployed an information asset, he shows how to consistently get reliable regulatory and financial information from it. Performing Information Governance will be indispensable to CIOs and Chief Data Officers...data quality, metadata, and MDM specialists...anyone responsible for making information governance work. Coverage Includes Recognizing the hidden development and operational implications of information governance—and why it needs to be integrated in the broader organization Integrating information governance activities with transactional processing, BI, MDM, and other enterprise information management functions Establishing the information governance organization: defining roles, launching projects, and integrating with ongoing operations Performing information governance in transactional projects, including those using agile methods and COTS products Bringing stronger information governance to MDM: strategy, architecture, development, and beyond Governing information throughout your BI or Big Data project lifecycle Effectively performing ongoing information governance and data stewardship operational processes Auditing and enforcing data quality management in the context of enterprise information management Maintaining and evolving metadata management for maximum business value

IBM InfoSphere Information Server Deployment Architectures

Author : Chuck Ballard,Tuvia Alon,Naveen Dronavalli,Stephen Jennings,Mark Lee,Sachiko Toratani,IBM Redbooks
Publisher : IBM Redbooks
Page : 250 pages
File Size : 41,9 Mb
Release : 2013-01-17
Category : Computers
ISBN : 9780738437286

Get Book

IBM InfoSphere Information Server Deployment Architectures by Chuck Ballard,Tuvia Alon,Naveen Dronavalli,Stephen Jennings,Mark Lee,Sachiko Toratani,IBM Redbooks Pdf

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.

Patterns of Information Management

Author : Mandy Chessell,Harald Smith
Publisher : IBM Press
Page : 736 pages
File Size : 41,9 Mb
Release : 2013-05-02
Category : Computers
ISBN : 9780133155525

Get Book

Patterns of Information Management by Mandy Chessell,Harald Smith Pdf

Use Best Practice Patterns to Understand and Architect Manageable, Efficient Information Supply Chains That Help You Leverage All Your Data and Knowledge In the era of “Big Data,” information pervades every aspect of the organization. Therefore, architecting and managing it is a multi-disciplinary task. Now, two pioneering IBM® architects present proven architecture patterns that fully reflect this reality. Using their pattern language, you can accurately characterize the information issues associated with your own systems, and design solutions that succeed over both the short- and long-term. Building on the analogy of a supply chain, Mandy Chessell and Harald C. Smith explain how information can be transformed, enriched, reconciled, redistributed, and utilized in even the most complex environments. Through a realistic, end-to-end case study, they help you blend overlapping information management, SOA, and BPM technologies that are often viewed as competitive. Using this book’s patterns, you can integrate all levels of your architecture–from holistic, enterprise, system-level views down to low-level design elements. You can fully address key non-functional requirements such as the amount, quality, and pace of incoming data. Above all, you can create an IT landscape that is coherent, interconnected, efficient, effective, and manageable. Coverage Includes Understanding how a pattern language can help you address key information management challenges Defining information strategy and governance for organizations and users Creating orderly information flows you can reuse and synchronize as needed Managing information structure, meaning, and lifecycles Providing for efficient information access and storage when deploying new IT capabilities Moving information efficiently and reliably to support your processes Determining how information should be processed and maintained Improving quality and accessibility, and supporting higher-value analytics Protecting information via validation, transformation, enrichment, correction, security, and monitoring Planning new information management projects in the context of your existing IT resources

The IBM Data Governance Unified Process

Author : Sunil Soares
Publisher : MC Press
Page : 0 pages
File Size : 50,8 Mb
Release : 2010-10
Category : Computers
ISBN : 1583473602

Get Book

The IBM Data Governance Unified Process by Sunil Soares Pdf

Anyone considering a data governance program within their organization will find an invaluable step-by-step methodology using IBM tools and best practices in this structured how-to. While many in the IT industry hold separate definitions in their minds, this authoritative manual defines data governance as the discipline of treating data as an enterprise asset. The intricate process of data governance involves the exercise of decision rights to optimize, secure, and leverage data. Providing a rigorous explanation of the 14 steps and almost 100 substeps to enact unified data governance, this extensive handbook also shows that the core issues to be tackled are not about technology but rather about people and process.

Implementing an Advanced Application Using Processes, Rules, Events, and Reports

Author : Ahmed Abdel-Gayed,Kulvir Singh Bhogal,Don Carr,Richard Davies,Aditya P Dutta,Marcelo Correia Lima,Agueda Martinez Hernandez Magro,Yuka Musashi,Michael Norris,Felix Pistorius,Martin Keen,IBM Redbooks
Publisher : IBM Redbooks
Page : 318 pages
File Size : 41,5 Mb
Release : 2012-10-12
Category : Computers
ISBN : 9780738437385

Get Book

Implementing an Advanced Application Using Processes, Rules, Events, and Reports by Ahmed Abdel-Gayed,Kulvir Singh Bhogal,Don Carr,Richard Davies,Aditya P Dutta,Marcelo Correia Lima,Agueda Martinez Hernandez Magro,Yuka Musashi,Michael Norris,Felix Pistorius,Martin Keen,IBM Redbooks Pdf

In this IBM® Redbooks® publication we describe how to build an advanced business application from end to end. We use a fictional scenario to define the application, document the deployment methodology, and confirm the roles needed to support its development and deployment. Through step-by-step instructions you learn how to: - Define the project lifecycle using IBM Solution for Collaborative Lifecycle Management - Build a logical and physical data model in IBM InfoSphere® Data Architect - Confirm business rules and business events using IBM WebSphere® Operational Decision Management - Map a business process and mediation using IBM Business Process Manager - Use IBM Cognos® Business Intelligence to develop business insight In addition, we articulate a testing strategy using IBM Rational® Quality Manager and deployment options using IBM Workload Deployer. Taken together, this book provides comprehensive guidance for building and testing a solution using core IBM Rational, Information Management, WebSphere, Cognos and Business Process Management software. It seeks to demystify the notion that developing and deploying advanced solutions is taxing. This book will appeal to IT architects and specialists who seek straightforward guidance on how to build comprehensive solutions. They will be able to adapt these materials to kick-start their own end-to-end projects.

Aligning MDM and BPM for Master Data Governance, Stewardship, and Enterprise Processes

Author : Chuck Ballard,Trey Anderson,Dr. Lawrence Dubov,Alex Eastman,Jay Limburn,Umasuthan Ramakrishnan,IBM Redbooks
Publisher : IBM Redbooks
Page : 212 pages
File Size : 54,8 Mb
Release : 2013-03-08
Category : Computers
ISBN : 9780738437743

Get Book

Aligning MDM and BPM for Master Data Governance, Stewardship, and Enterprise Processes by Chuck Ballard,Trey Anderson,Dr. Lawrence Dubov,Alex Eastman,Jay Limburn,Umasuthan Ramakrishnan,IBM Redbooks Pdf

An enterprise can gain differentiating value by aligning its master data management (MDM) and business process management (BPM) projects. This way, organizations can optimize their business performance through agile processes that empower decision makers with the trusted, single version of information. Many companies deploy MDM strategies as assurances that enterprise master data can be trusted and used in the business processes. IBM® InfoSphere® Master Data Management creates trusted views of data assets and elevates the effectiveness of an organization's most important business processes and applications. This IBM Redbooks® publication provides an overview of MDM and BPM. It examines how you can align them to enable trusted and accurate information to be used by business processes to optimize business performance and bring more agility to data stewardship. It also provides beginning guidance on these patterns and where cross-training efforts might focus. This book is written for MDM or BPM architects and MDM and BPM architects. By reading this book, MDM or BPM architects can understand how to scope joint projects or to provide reasonable estimates of the effort. BPM developers (or MDM developers with BPM training) can learn how to design and build MDM creation and consumption use cases by using the MDM Toolkit for BPM. They can also learn how to import data governance samples and extend them to enable collaborative stewardship of master data.

IBM Cloud Pak for Data

Author : Hemanth Manda,Sriram Srinivasan,Deepak Rangarao
Publisher : Packt Publishing Ltd
Page : 337 pages
File Size : 47,5 Mb
Release : 2021-11-24
Category : Computers
ISBN : 9781800567405

Get Book

IBM Cloud Pak for Data by Hemanth Manda,Sriram Srinivasan,Deepak Rangarao Pdf

Build end-to-end AI solutions with IBM Cloud Pak for Data to operationalize AI on a secure platform based on cloud-native reliability, cost-effective multitenancy, and efficient resource management Key FeaturesExplore data virtualization by accessing data in real time without moving itUnify the data and AI experience with the integrated end-to-end platformExplore the AI life cycle and learn to build, experiment, and operationalize trusted AI at scaleBook Description Cloud Pak for Data is IBM's modern data and AI platform that includes strategic offerings from its data and AI portfolio delivered in a cloud-native fashion with the flexibility of deployment on any cloud. The platform offers a unique approach to addressing modern challenges with an integrated mix of proprietary, open-source, and third-party services. You'll begin by getting to grips with key concepts in modern data management and artificial intelligence (AI), reviewing real-life use cases, and developing an appreciation of the AI Ladder principle. Once you've gotten to grips with the basics, you will explore how Cloud Pak for Data helps in the elegant implementation of the AI Ladder practice to collect, organize, analyze, and infuse data and trustworthy AI across your business. As you advance, you'll discover the capabilities of the platform and extension services, including how they are packaged and priced. With the help of examples present throughout the book, you will gain a deep understanding of the platform, from its rich capabilities and technical architecture to its ecosystem and key go-to-market aspects. By the end of this IBM book, you'll be able to apply IBM Cloud Pak for Data's prescriptive practices and leverage its capabilities to build a trusted data foundation and accelerate AI adoption in your enterprise. What you will learnUnderstand the importance of digital transformations and the role of data and AI platformsGet to grips with data architecture and its relevance in driving AI adoption using IBM's AI LadderUnderstand Cloud Pak for Data, its value proposition, capabilities, and unique differentiatorsDelve into the pricing, packaging, key use cases, and competitors of Cloud Pak for DataUse the Cloud Pak for Data ecosystem with premium IBM and third-party servicesDiscover IBM's vibrant ecosystem of proprietary, open-source, and third-party offerings from over 35 ISVsWho this book is for This book is for data scientists, data stewards, developers, and data-focused business executives interested in learning about IBM's Cloud Pak for Data. Knowledge of technical concepts related to data science and familiarity with data analytics and AI initiatives at various levels of maturity are required to make the most of this book.