Concept of Operations for Collaboration and Discovery from Big Data Across Enterprise Data Warehouses

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Release : 2013
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Concept of Operations for Collaboration and Discovery from Big Data Across Enterprise Data Warehouses - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Concept of Operations for Collaboration and Discovery from Big Data Across Enterprise Data Warehouses write by . This book was released on 2013. Concept of Operations for Collaboration and Discovery from Big Data Across Enterprise Data Warehouses available in PDF, EPUB and Kindle. The success of data-driven business in government, science, and private industry is driving the need for seamless integration of intra and inter-enterprise data sources to extract knowledge nuggets in the form of correlations, trends, patterns and behaviors previously not discovered due to physical and logical separation of datasets. Today, as volume, velocity, variety and complexity of enterprise data keeps increasing, the next generation analysts are facing several challenges in the knowledge extraction process. Towards addressing these challenges, data-driven organizations that rely on the success of their analysts have to make investment decisions for sustainable data/information systems and knowledge discovery. Options that organizations are considering are newer storage/analysis architectures, better analysis machines, redesigned analysis algorithms, collaborative knowledge management tools, and query builders amongst many others. In this paper, we present a concept of operations for enabling knowledge discovery that data-driven organizations can leverage towards making their investment decisions. We base our recommendations on the experience gained from integrating multi-agency enterprise data warehouses at the Oak Ridge National Laboratory to design the foundation of future knowledge nurturing data-system architectures.

Collaborative Information Seeking

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Release : 2015-09-12
Genre : Computers
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Book Rating : 883/5 ( reviews)

Collaborative Information Seeking - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Collaborative Information Seeking write by Preben Hansen. This book was released on 2015-09-12. Collaborative Information Seeking available in PDF, EPUB and Kindle. Compiled by world- class leaders in the field of collaborative information retrieval and search (CIS), this book centres on the notion that information seeking is not always a solitary activity and working in collaboration to perform information-seeking tasks should be studied and supported. Covering aspects of theories, models, and applications the book is divided in three parts: · Best Practices and Studies: providing an overview of current knowledge and state-of-the-art in the field. · New Domains: covers some of the new and exciting opportunities of applying CIS · New Thoughts: focuses on new research directions by scholars from academia and industry from around the world. Collaborative Information Seeking provides a valuable reference for student, teachers, and researchers interested in the area of collaborative work, information seeking/retrieval, and human-computer interaction.

Designing and Operating a Data Reservoir

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Release : 2015-05-26
Genre : Computers
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Book Rating : 661/5 ( reviews)

Designing and Operating a Data Reservoir - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Designing and Operating a Data Reservoir write by Mandy Chessell. This book was released on 2015-05-26. Designing and Operating a Data Reservoir available in PDF, EPUB and Kindle. 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.

Business Intelligence Guidebook

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Release : 2014-11-04
Genre : Computers
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Book Rating : 284/5 ( reviews)

Business Intelligence Guidebook - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Business Intelligence Guidebook write by Rick Sherman. This book was released on 2014-11-04. Business Intelligence Guidebook available in PDF, EPUB and Kindle. Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors’ tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget – turning the deluge of data into actionable information that fuels business knowledge. Finally, you’ll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success. Provides practical guidelines for building successful BI, DW and data integration solutions. Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language. Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses Describes best practices and pragmatic approaches so readers can put them into action. Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources.

Handbook of Industry 4.0 and SMART Systems

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Release : 2019-09-16
Genre : Business & Economics
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Book Rating : 672/5 ( reviews)

Handbook of Industry 4.0 and SMART Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Industry 4.0 and SMART Systems write by Diego Galar Pascual. This book was released on 2019-09-16. Handbook of Industry 4.0 and SMART Systems available in PDF, EPUB and Kindle. Industry 4.0 refers to fourth generation of industrial activity characterized by smart systems and internet-based solutions. This book describes the fourth revolution based on instrumented, interconnected and intelligent assets. The different book chapters provide a perspective on technologies and methodologies developed and deployed leading to this concept. With an aim to increase performance, productivity and flexibility, major application area of maintenance through smart system has been discussed in detail. Applicability of 4.0 in transportation, energy and infrastructure is explored, with effects on technology, organisation and operations from a systems perspective.