A Practical Guide To Managing Reference Data With Ibm Infosphere Master Data Management Reference Data Management Hub

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A Practical Guide to Managing Reference Data with IBM InfoSphere Master Data Management Reference Data Management Hub

Author : Whei-Jen Chen
Publisher : IBM Redbooks
ISBN 13 : 0738438022
Total Pages : 266 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis A Practical Guide to Managing Reference Data with IBM InfoSphere Master Data Management Reference Data Management Hub by : Whei-Jen Chen

Download or read book A Practical Guide to Managing Reference Data with IBM InfoSphere Master Data Management Reference Data Management Hub written by Whei-Jen Chen and published by IBM Redbooks. This book was released on 2013-05-06 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A Practical Guide to Managing Reference Data with IBM InfoSphere Master Data Management Reference Data Management Hub

Author : Whei-Jen Chen
Publisher :
ISBN 13 :
Total Pages : 266 pages
Book Rating : 4.:/5 (11 download)

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Book Synopsis A Practical Guide to Managing Reference Data with IBM InfoSphere Master Data Management Reference Data Management Hub by : Whei-Jen Chen

Download or read book A Practical Guide to Managing Reference Data with IBM InfoSphere Master Data Management Reference Data Management Hub written by Whei-Jen Chen and published by . This book was released on 2013 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Information Quality and Governance for Business Intelligence

Author : Yeoh, William
Publisher : IGI Global
ISBN 13 : 1466648937
Total Pages : 478 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Information Quality and Governance for Business Intelligence by : Yeoh, William

Download or read book Information Quality and Governance for Business Intelligence written by Yeoh, William and published by IGI Global. This book was released on 2013-12-31 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business intelligence initiatives have been dominating the technology priority list of many organizations. However, the lack of effective information quality and governance strategies and policies has been meeting these initiatives with some challenges. Information Quality and Governance for Business Intelligence presents the latest exchange of academic research on all aspects of practicing and managing information using a multidisciplinary approach that examines its quality for organizational growth. This book is an essential reference tool for researchers, practitioners, and university students specializing in business intelligence, information quality, and information systems.

Beyond Big Data

Author : Martin Oberhofer
Publisher : Pearson Education
ISBN 13 : 013350980X
Total Pages : 261 pages
Book Rating : 4.1/5 (335 download)

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Book Synopsis Beyond Big Data by : Martin Oberhofer

Download or read book Beyond Big Data written by Martin Oberhofer and published by Pearson Education. This book was released on 2015 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drive Powerful Business Value by Extending MDM to Social, Mobile, Local, and Transactional Data Enterprises have long relied on Master Data Management (MDM) to improve customer-related processes. But MDM was designed primarily for structured data. Today, crucial information is increasingly captured in unstructured, transactional, and social formats: from tweets and Facebook posts to call center transcripts. Even with tools like Hadoop, extracting usable insight is difficult--often, because it's so difficult to integrate new and legacy data sources. In Beyond Big Data, five of IBM's leading data management experts introduce powerful new ways to integrate social, mobile, location, and traditional data. Drawing on pioneering experience with IBM's enterprise customers, they show how Social MDM can help you deepen relationships, improve prospect targeting, and fully engage customers through mobile channels. Business leaders and practitioners will discover powerful new ways to combine social and master data to improve performance and uncover new opportunities. Architects and other technical leaders will find a complete reference architecture, in-depth coverage of relevant technologies and use cases, and domain-specific best practices for their own projects. Coverage Includes How Social MDM extends fundamental MDM concepts and techniques Architecting Social MDM: components, functions, layers, and interactions Identifying high value relationships: person to product and person to organization Mapping Social MDM architecture to specific products and technologies Using Social MDM to create more compelling customer experiences Accelerating your transition to highly-targeted, contextual marketing Incorporating mobile data to improve employee productivity Avoiding privacy and ethical pitfalls throughout your ecosystem Previewing Semantic MDM and other emerging trends

Handbook of Research on Global Supply Chain Management

Author : Christiansen, Bryan
Publisher : IGI Global
ISBN 13 : 1466696400
Total Pages : 718 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Handbook of Research on Global Supply Chain Management by : Christiansen, Bryan

Download or read book Handbook of Research on Global Supply Chain Management written by Christiansen, Bryan and published by IGI Global. This book was released on 2015-11-12 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: Supply Chain Management (SCM) has always been an important aspect of an enterprise’s business model and an effective supply chain network is essential to remaining competitive in a global environment. By properly managing the flow of goods and services, businesses can operate more efficiently while managing most of the workload behind-the-scenes. The Handbook of Research on Global Supply Chain Management is an in-depth reference source that covers emerging issues and relevant applications of information pertaining to supply chain management from an international perspective. Featuring coverage on topics such as the global importance of SCMs to strategies for producing an effective supply chain, this comprehensive publication is an essential resource for academics and business professionals alike interested in uncovering managerial insight and logistics solutions.

Smarter Modeling of IBM InfoSphere Master Data Management Solutions

Author : Jan-Bernd Bracht
Publisher : IBM Redbooks
ISBN 13 : 0738436801
Total Pages : 596 pages
Book Rating : 4.7/5 (384 download)

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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.

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

Author : Chuck Ballard
Publisher : IBM Redbooks
ISBN 13 : 0738437743
Total Pages : 212 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis Aligning MDM and BPM for Master Data Governance, Stewardship, and Enterprise Processes by : Chuck Ballard

Download or read book Aligning MDM and BPM for Master Data Governance, Stewardship, and Enterprise Processes written by Chuck Ballard and published by IBM Redbooks. This book was released on 2013-03-08 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Master Data Management for SaaS Applications

Author : Whei-Jen Chen
Publisher : IBM Redbooks
ISBN 13 : 0738440043
Total Pages : 148 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis Master Data Management for SaaS Applications by : Whei-Jen Chen

Download or read book Master Data Management for SaaS Applications written by Whei-Jen Chen and published by IBM Redbooks. This book was released on 2014-10-19 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enterprises today understand the value of employing a master data management (MDM) solution for managing and governing mission critical information assets. chief data officers and chief information officers drive MDM initiatives with IBM® InfoSphere® Master Data Management to improve business results and operational efficiencies, which can help to lower costs and to reduce the risk of using untrusted master information in business process. Cloud computing introduces new considerations where enterprise IT architectures are extended beyond the corporate networks into the cloud. Many enterprises are now adopting turnkey business applications offered as software as a service (SaaS) solutions, such as customer relationship management (CRM), payroll processing, human resource management, and many more. However, in the context of MDM solutions, many organizations perceive risks in having these solutions deployed on the cloud. In some cases, organization are concerned with the legal restrictions of deploying solutions on the cloud, whereas in other cases organizations have policies and strategies in force that limit solution deployment on the cloud. Immaterial of what all the cases might be, industry trends point to a prediction that many "extended enterprises" will keep MDM solutions on premises and will want its integrations with SaaS applications, specifically customer and asset domains. This trend puts a key focus on an important component in the solution construct, that is, the cloud integration middleware and how it fits with hybrid cloud architectures that span on premises and cloud services. As this trend pans out, the on-premises MDM solution integration with SaaS applications will be the key pain point for the "extended enterprise." This IBM Redbooks® publication provides guidance to chief data officers, chief information officers, MDM practitioners, integration architects, and others who are interested in the integration of IBM InfoSphere Master Data Management with SaaS applications. This book lays the background on how mastering and governance needs for SaaS applications is quite similar to what on-premises business applications would need. It draws the perspective for serving the on-premises application and the SaaS application with the same MDM hub. This book describes how IBM WebSphere® Cast Iron® Cloud Integration can serve as the "de-facto" cloud integration middleware to integrate the on-premises InfoSphere Master Data Management systems with any SaaS application by using Saleforce.com integration as an example. This book also covers aspects of handling bulk operations with IBM InfoSphere Information Server. After reading this book, you will have a good understanding about the considerations for on-premises InfoSphere Master Data Management integration with SaaS applications in general and Salesforce.com in particular. The MDM practitioners and integration architects will understand the deployable integrations patterns and, in general, will be able to effectively contribute to delivering strategies that involve building solutions in this area. Additionally, SaaS vendors and customers looking to build or implement SaaS solutions that might require trusted master information will be able to use this compilation to ensure that the right architecture is put together and adhered to as a set of standard integrations patterns with all the core building blocks is essential for the longevity of a solution in this space.

Smarter Business: Dynamic Information with IBM InfoSphere Data Replication CDC

Author : Chuck Ballard
Publisher : IBM Redbooks
ISBN 13 : 0738436372
Total Pages : 484 pages
Book Rating : 4.7/5 (384 download)

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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.

InfoSphere DataStage Parallel Framework Standard Practices

Author : Julius Lerm
Publisher : IBM Redbooks
ISBN 13 : 0738434477
Total Pages : 458 pages
Book Rating : 4.7/5 (384 download)

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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.

Building 360-Degree Information Applications

Author : Whei-Jen Chen
Publisher : IBM Redbooks
ISBN 13 : 0738439924
Total Pages : 236 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis Building 360-Degree Information Applications by : Whei-Jen Chen

Download or read book Building 360-Degree Information Applications written by Whei-Jen Chen and published by IBM Redbooks. This book was released on 2014-10-01 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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® WatsonTM 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 BigInsightsTM (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>

Metadata Management with IBM InfoSphere Information Server

Author : Wei-Dong Zhu
Publisher : IBM Redbooks
ISBN 13 : 0738435996
Total Pages : 458 pages
Book Rating : 4.7/5 (384 download)

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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.

IBM Information Governance Solutions

Author : Chuck Ballard
Publisher : IBM Redbooks
ISBN 13 : 0738439517
Total Pages : 264 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis IBM Information Governance Solutions by : Chuck Ballard

Download or read book IBM Information Governance Solutions written by Chuck Ballard and published by IBM Redbooks. This book was released on 2014-04-04 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Information Governance Principles and Practices for a Big Data Landscape

Author : Chuck Ballard
Publisher : IBM Redbooks
ISBN 13 : 0738439592
Total Pages : 280 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis Information Governance Principles and Practices for a Big Data Landscape by : Chuck Ballard

Download or read book Information Governance Principles and Practices for a Big Data Landscape written by Chuck Ballard and published by IBM Redbooks. This book was released on 2014-03-31 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Performance and Capacity Implications for Big Data

Author : Dave Jewell
Publisher : IBM Redbooks
ISBN 13 : 0738453587
Total Pages : 48 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis Performance and Capacity Implications for Big Data by : Dave Jewell

Download or read book Performance and Capacity Implications for Big Data written by Dave Jewell and published by IBM Redbooks. This book was released on 2014-02-07 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data solutions enable us to change how we do business by exploiting previously unused sources of information in ways that were not possible just a few years ago. In IBM® Smarter Planet® terms, big data helps us to change the way that the world works. The purpose of this IBM RedpaperTM publication is to consider the performance and capacity implications of big data solutions, which must be taken into account for them to be viable. This paper describes the benefits that big data approaches can provide. We then cover performance and capacity considerations for creating big data solutions. We conclude with what this means for big data solutions, both now and in the future. Intended readers for this paper include decision-makers, consultants, and IT architects.

Designing and Operating a Data Reservoir

Author : Mandy Chessell
Publisher : IBM Redbooks
ISBN 13 : 0837440661
Total Pages : 188 pages
Book Rating : 4.8/5 (374 download)

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Book Synopsis Designing and Operating a Data Reservoir by : Mandy Chessell

Download or read book Designing and Operating a Data Reservoir written by Mandy Chessell and published by IBM Redbooks. This book was released on 2015-05-26 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Together, big data and analytics have tremendous potential to improve the way we use precious resources, to provide more personalized services, and to protect ourselves from unexpected and ill-intentioned activities. To fully use big data and analytics, an organization needs a system of insight. This is an ecosystem where individuals can locate and access data, and build visualizations and new analytical models that can be deployed into the IT systems to improve the operations of the organization. The data that is most valuable for analytics is also valuable in its own right and typically contains personal and private information about key people in the organization such as customers, employees, and suppliers. Although universal access to data is desirable, safeguards are necessary to protect people's privacy, prevent data leakage, and detect suspicious activity. The data reservoir is a reference architecture that balances the desire for easy access to data with information governance and security. The data reservoir reference architecture describes the technical capabilities necessary for a system of insight, while being independent of specific technologies. Being technology independent is important, because most organizations already have investments in data platforms that they want to incorporate in their solution. In addition, technology is continually improving, and the choice of technology is often dictated by the volume, variety, and velocity of the data being managed. A system of insight needs more than technology to succeed. The data reservoir reference architecture includes description of governance and management processes and definitions to ensure the human and business systems around the technology support a collaborative, self-service, and safe environment for data use. The data reservoir reference architecture was first introduced in Governing and Managing Big Data for Analytics and Decision Makers, REDP-5120, which is available at: http://www.redbooks.ibm.com/redpieces/abstracts/redp5120.html. This IBM® Redbooks publication, Designing and Operating a Data Reservoir, builds on that material to provide more detail on the capabilities and internal workings of a data reservoir.

IBM solidDB: Delivering Data with Extreme Speed

Author : Chuck Ballard
Publisher : IBM Redbooks
ISBN 13 : 0738435457
Total Pages : 306 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis IBM solidDB: Delivering Data with Extreme Speed by : Chuck Ballard

Download or read book IBM solidDB: Delivering Data with Extreme Speed written by Chuck Ballard and published by IBM Redbooks. This book was released on 2011-05-06 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world seems to be getting smaller and business moving much faster. To be successful in this type of environment you need instantaneous access to any information, immediate responses to queries, and constant availability, on a worldwide basis, and in a world where the volume of data is growing exponentially. You need the best resources you can get, and ones that can satisfy those needs. IBM® can help. A primary component that can affect performance is access to disk-based data. And, as data volumes grow, so does the performance impact. To improve performance, it is time to look for technology enhancements that can mitigate that impact. IBM solidDB® is powerful relational, in-memory caching software that can accelerate traditional disk-based relational database servers by caching performance-critical data into one or more solidDB in-memory database instances. This capability can enable significant performance improvements. It brings data closer to the application so you can use a faster and more efficient data access paradigm. The result? Faster delivery of information for your queries to enable faster analysis and decision-making that can give you a significant business advantage. Have questions? Many of the answers you need are contained in this IBM Redbooks® publication.