Download or read book Data Warehousing with the Informix Dynamic Server written by Chuck Ballard and published by IBM Redbooks. This book was released on 2009-12-10 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: The IBM Informix® Dynamic Server (IDS) has the tools to build a powerful data warehouse infrastructure platform to lower costs and increase profits by doing more with your existing operational data and infrastructure. The Informix Warehouse Feature simplifies the process for design and deployment of a high performance data warehouse. With a state-of-the-art extract, load, and transform (ELT) tool and an Eclipse-based GUI environment that is easy to use, this comprehensive platform provides the foundation you need to cost effectively build and deploy the data warehousing infrastructure, using the IBM Informix Dynamic Server, and needed to enable the development and use of next-generation analytic solutions . This IBM® Redbooks® publication describes the technical information and demonstrates the functions and capabilities of the Informix Dynamic Server Warehouse Feature. It can help you understand how to develop a data warehousing architecture and infrastructure to meet your particular requirements, with the Informix Dynamic Server. It can also enable you to transform and manage your operational data, and use it to populate your data warehouse. With that new data warehousing environment, you can support the data analysis and decision-making that are required as you monitor and manage your business processes, and help you meet your business performance management goals, objectives, and measurements.

Download or read book Open Source Data Warehousing and Business Intelligence written by Lakshman Bulusu and published by CRC Press. This book was released on 2012-08-06 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Open Source Data Warehousing and Business Intelligence is an all-in-one reference for developing open source based data warehousing (DW) and business intelligence (BI) solutions that are business-centric, cross-customer viable, cross-functional, cross-technology based, and enterprise-wide. Considering the entire lifecycle of an open source DW &

Download or read book The New Era of Enterprise Business Intelligence written by Mike Biere and published by Pearson Education. This book was released on 2010-08-15 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Complete Blueprint for Maximizing the Value of Business Intelligence in the Enterprise The typical enterprise recognizes the immense potential of business intelligence (BI) and its impact upon many facets within the organization—but it’s not easy to transform BI’s potential into real business value. In The New Era of Enterprise Business Intelligence, top BI expert Mike Biere presents a complete blueprint for creating winning BI strategies and infrastructure, and systematically maximizing the value of information throughout the enterprise. This product-independent guide brings together start-to-finish guidance and practical checklists for every senior IT executive, planner, strategist, implementer, and the actual business users themselves. Drawing on thousands of hours working with enterprise customers, Biere helps decision-makers choose from today’s unprecedented spectrum of options, including the latest BI platform suites and appliances. He offers practical, “in-the-trenches” insights on a wide spectrum of planning and implementation issues, from segmenting and supporting users to working with unstructured data. Coverage includes Understanding the scope of today’s BI solutions and how they fit into existing infrastructure Assessing new options such as SaaS and cloud-based technologies Avoiding technology biases and other “project killers” Developing effective RFIs/RFPs and proofs of concept Setting up competency centers and planning for skills development Crafting a better experience for all your business users Supporting the requirements of senior executives, including performance management Cost-justifying BI solutions and measuring success Working with enterprise content management, text analytics, and search Planning and constructing portals, mashups, and other user interfaces Previewing the future of BI

Download or read book Warehousing and Transportation Logistics written by Heinrich Martin and published by Kogan Page Publishers. This book was released on 2018-04-03 with total page 681 pages. Available in PDF, EPUB and Kindle. Book excerpt: Warehousing and Transportation Logistics offers an overview of transport, warehousing and assembly logistics, including order picking, packaging, handling and management. The key focus is on the management techniques in transport and warehousing and the logistics-focused perspective runs throughout the entire book. The author examines different applications and planning techniques and includes examples of supporting economic calculations and questions and answers. Warehousing and Transportation Logistics looks at unit creation, material flow or goods storage as well as systems and management for planning or information to identify objects, control and processing of orders. It is a practice-oriented book for students with a multitude of useful information and ideas. It is also a workbook for professional practitioners, production, planning and industrial engineers, who are specifically concerned with the planning side of this specialist area. The examples at the end of each chapter deepen and complement the content and there are comprehensive notes with each figure providing additional information on the topic.

Download or read book Conceptualizing and capturing digital transformation s customer value a logistics and supply chain management perspective written by Junge, Anna Lisa and published by Universitätsverlag der TU Berlin. This book was released on 2020-12-22 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis aims to add knowledge that contributes to answering the question of how digital transformation technologies can contribute to increasing customer value in logistics and supply chain management (L&SCM), and how manufacturing companies can mindfully use them. The output of the thesis is an architectural framework that proposes performance components, approaches and methodologies that can help in capturing this customer value. To build the basis for such a framework, this research first deduces and presents the underlying definition of digital transformation and describes its potential for, as well as current barriers for its application in, L&SCM. The study uses a systematic literature review to identify nine underlying digital transformation technology bundles. These are: auto-identification technologies; information and communication technologies; the cloud; cyber physical systems; analytics; distributed ledger; automation technologies; augmented and virtual reality; and additive manufacturing. These technologies served as inputs for a nominal group technique workshop aiming to conceptualize the dimensions of customer value based on the technologies. The derived dimensions are information disclosure, time, product/production, service/assistance, quality, choice options, and planning. Based on these findings, this thesis presents an impact assessment for customer-based L&SCM performance. The three-plus-one customer value propositions are availability, servitization, co-creation, and cognition as enhancement. Expert interviews provide the data for the architectural framework for capturing customer value based on digital transformation technologies in L&SCM. The six dimensions covered are the customer value proposition; the value portfolio; scope of collaboration; human resource management and organization; performance management; as well as the (re-)adjusting value assessment. The main scientific contribution lies in conceptualizing the customer value for L&SCM based on digital transformation technologies whereas the architectural framework constitutes the main practical contributions. Ziel dieser Arbeit ist es, die Frage zu beantworten, wie digitale Transformationstechnologien dazu beitragen und bewusst eingesetzt werden können, um den Kundennutzen in Logistik und Supply Chain Management (L&SCM) von produzierenden Unternehmen zu erhöhen. Das Ergebnis ist ein architektonischer Rahmen, der Leistungskomponenten, Ansätze und Methoden vorschlägt, wie dieser Kundenmehrwert erfasst und umgesetzt werden kann. Um die Grundlage für das Framework zu schaffen, leitet diese Arbeit zunächst die zugrunde liegende Definition für digitale Transformation ab und beschreibt deren Potentiale sowie die aktuellen Barrieren für L&SCM. Die relevanten neun digitalen Transformationstechnologiebündel werden auf Basis einer systematischen Literaturanalyse identifiziert. Es handelt sich um Technologien zur automatischen Identifizierung, Informations- und Kommunikationstechnologien, Cloud, cyberphysikalische Systeme, Analytics, Distributed Ledger, Automatisierungstechnologien, Augmented und Virtual Reality sowie Additive Fertigung. Diese Technologien dienen als Input für einen Nominal Group Technique-Workshop, der darauf abzielt, die Dimensionen des Kundennutzens auf der Grundlage dieser Technologien zu konzeptualisieren. Die abgeleiteten Dimensionen sind Informationsverfügbarkeit, Zeit, Produkt/Produktion, Service und Assistenzsysteme, Qualität, Auswahlmöglichkeiten und Planung. Auf der Grundlage dieser Ergebnisse wird ein Einflussmodell für kundenorientierte L&SCM Leistungen vorgestellt. Die drei plus eins Kundenwertversprechen sind Verfügbarkeit, Service, Ko-Kreation und Kognition als Zusatzkomponente bzw. Erweiterung. Experteninterviews dienen als Datenbasis für das architektonische Framework zur Erfassung des Kundennutzens auf der Grundlage digitaler Transformationstechnologien in L&SCM. Die sechs abgedeckten Dimensionen sind das Kundenwertversprechen, das Wertportfolio, Kollaboration, Personalmanagement und Organisation, Leistungsmanagement sowie die Erfassung und Bewertung des Kundenwertes. Der wichtigste wissenschaftliche Beitrag liegt in der Konzeption des Kundennutzens für L&SCM auf der Grundlage digitaler Transformationstechnologien, während der wichtigste praktische Beitrag in dem architektonischen Framework zu sehen ist.

Download or read book Dynamics in Logistics written by Michael Freitag and published by Springer Nature. This book was released on with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Dynamics in Logistics written by Hans-Jörg Kreowski and published by Springer Science & Business Media. This book was released on 2013-03-28 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume comprises the proceedings of the third International Conference on Dynamics in Logistics LDIC 2012. The scope of the conference targeted the identification, analysis, and description of the dynamics of logistic processes and networks. The spectrum ranged from the modeling and planning of processes and innovative methods like autonomous control and knowledge management to the new technologies provided by radio frequency identification, mobile communication, and networking. The growing dynamics in the area of logistics poses completely new challenges: Logistic processes and networks must rapidly and flexibly adapt to continuously changing conditions. LDIC 2012 provided a venue for researchers from academia and industry interested in the technical advances in dynamics in logistics. The conference addressed research in logistics from a wide range of fields, e.g. engineering, computer science and operations research. The volume consists of two invited papers and of 49 contributed papers divided into various subjects including transport logistics, routing in dynamic logistic networks, modeling, simulation, optimization and collaboration in logistics, identification technologies, mathematical modeling in transport and production logistics, information, communication, risk and failure in logistic systems, autonomous control in logistic processes, global supply chains and industrial applications, and the Internet of Things in the context of logistics.

Download or read book Encyclopedia of Data Warehousing and Mining Second Edition written by Wang, John and published by IGI Global. This book was released on 2008-08-31 with total page 2542 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are more than one billion documents on the Web, with the count continually rising at a pace of over one million new documents per day. As information increases, the motivation and interest in data warehousing and mining research and practice remains high in organizational interest. The Encyclopedia of Data Warehousing and Mining, Second Edition, offers thorough exposure to the issues of importance in the rapidly changing field of data warehousing and mining. This essential reference source informs decision makers, problem solvers, and data mining specialists in business, academia, government, and other settings with over 300 entries on theories, methodologies, functionalities, and applications.

Download or read book Cold and Chilled Storage Technology written by C.V.J. Dellino and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first edition of Cold and Chilled Storage Technology was prepared at a time when great changes were taking place in the industry that were hard to put into clear perspective. For example, the CFClozone layer problem was identified, the Montreal Protocol was signed and experts from many disci plines were already proposing 'solutions' to the problems seen at the time. Not only were there the usual differences in approach to the problems, there were different understandings of the problems themselves. For in stance, some authoritative voices were saying HCFC 22 was 'part of the solution, not part of the problem' and recommending it as the main refrig erant for the future, others said the opposite. As editor, I have taken the view that this should be a 'reference book' and, as such, it should contain information that points in the direction of tried and proven good practice. To avoid the risk of misdirecting readers, I decided that the CFC issue was too unclear to be usefully discussed in the first edition and left it out altogether. This was the main criticism of the first edition at the time of its publication but, in view of the developments since then, I stand by my decision to avoid premature comment in that instance. The matter is discussed in this edition in Chapters 4 and 7, which include summaries of other related factors, in a way that was certainly not possible in 1989.

Download or read book Advanced Methods and Applications in Computational Intelligence written by Ryszard Klempous and published by Springer Science & Business Media. This book was released on 2013-07-20 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an excellent presentation of intelligent engineering and informatics foundations for researchers in this field as well as many examples with industrial application. It contains extended versions of selected papers presented at the inaugural ACASE 2012 Conference dedicated to the Applications of Systems Engineering. This conference was held from the 6th to the 8th of February 2012, at the University of Technology, Sydney, Australia, organized by the University of Technology, Sydney (Australia), Wroclaw University of Technology (Poland) and the University of Applied Sciences in Hagenberg (Austria). The book is organized into three main parts. Part I contains papers devoted to the heuristic approaches that are applicable in situations where the problem cannot be solved by exact methods, due to various characteristics or dimensionality problems. Part II covers essential issues of the network management, presents intelligent models of the next generation of networks and distributed systems as well as discusses applications of modern numerical methods in large intractable systems. Part III covers salient issues of complexity in intelligent system applications. This part also contains papers and articles which discuss concurrency issues that arise when multiple systems attempt to use the same radio space and the inter-connected system applications in the field of medical simulation and training.

Download or read book Fundamentals written by Katharina Morik and published by Walter de Gruyter GmbH & Co KG. This book was released on 2022-12-31 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning is part of Artificial Intelligence since its beginning. Certainly, not learning would only allow the perfect being to show intelligent behavior. All others, be it humans or machines, need to learn in order to enhance their capabilities. In the eighties of the last century, learning from examples and modeling human learning strategies have been investigated in concert. The formal statistical basis of many learning methods has been put forward later on and is still an integral part of machine learning. Neural networks have always been in the toolbox of methods. Integrating all the pre-processing, exploitation of kernel functions, and transformation steps of a machine learning process into the architecture of a deep neural network increased the performance of this model type considerably. Modern machine learning is challenged on the one hand by the amount of data and on the other hand by the demand of real-time inference. This leads to an interest in computing architectures and modern processors. For a long time, the machine learning research could take the von-Neumann architecture for granted. All algorithms were designed for the classical CPU. Issues of implementation on a particular architecture have been ignored. This is no longer possible. The time for independently investigating machine learning and computational architecture is over. Computing architecture has experienced a similarly rampant development from mainframe or personal computers in the last century to now very large compute clusters on the one hand and ubiquitous computing of embedded systems in the Internet of Things on the other hand. Cyber-physical systems’ sensors produce a huge amount of streaming data which need to be stored and analyzed. Their actuators need to react in real-time. This clearly establishes a close connection with machine learning. Cyber-physical systems and systems in the Internet of Things consist of diverse components, heterogeneous both in hard- and software. Modern multi-core systems, graphic processors, memory technologies and hardware-software codesign offer opportunities for better implementations of machine learning models. Machine learning and embedded systems together now form a field of research which tackles leading edge problems in machine learning, algorithm engineering, and embedded systems. Machine learning today needs to make the resource demands of learning and inference meet the resource constraints of used computer architecture and platforms. A large variety of algorithms for the same learning method and, moreover, diverse implementations of an algorithm for particular computing architectures optimize learning with respect to resource efficiency while keeping some guarantees of accuracy. The trade-off between a decreased energy consumption and an increased error rate, to just give an example, needs to be theoretically shown for training a model and the model inference. Pruning and quantization are ways of reducing the resource requirements by either compressing or approximating the model. In addition to memory and energy consumption, timeliness is an important issue, since many embedded systems are integrated into large products that interact with the physical world. If the results are delivered too late, they may have become useless. As a result, real-time guarantees are needed for such systems. To efficiently utilize the available resources, e.g., processing power, memory, and accelerators, with respect to response time, energy consumption, and power dissipation, different scheduling algorithms and resource management strategies need to be developed. This book series addresses machine learning under resource constraints as well as the application of the described methods in various domains of science and engineering. Turning big data into smart data requires many steps of data analysis: methods for extracting and selecting features, filtering and cleaning the data, joining heterogeneous sources, aggregating the data, and learning predictions need to scale up. The algorithms are challenged on the one hand by high-throughput data, gigantic data sets like in astrophysics, on the other hand by high dimensions like in genetic data. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are applied to program executions in order to save resources. The three books will have the following subtopics: Volume 1: Machine Learning under Resource Constraints - Fundamentals Volume 2: Machine Learning and Physics under Resource Constraints - Discovery Volume 3: Machine Learning under Resource Constraints - Applications Volume 1 establishes the foundations of this new field (Machine Learning under Resource Constraints). It goes through all the steps from data collection, their summary and clustering, to the different aspects of resource-aware learning, i.e., hardware, memory, energy, and communication awareness. Several machine learning methods are inspected with respect to their resource requirements and how to enhance their scalability on diverse computing architectures ranging from embedded systems to large computing clusters.

Download or read book Computerworld written by and published by . This book was released on 2007-03-19 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network.

Download or read book Data Warehousing and Knowledge Discovery written by A Min Tjoa and published by Springer. This book was released on 2006-09-21 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2006, held in conjunction with DEXA 2006. The book presents 53 revised full papers, organized in topical sections on ETL processing, materialized view, multidimensional design, OLAP and multidimensional model, cubes processing, data warehouse applications, mining techniques, frequent itemsets, mining data streams, ontology-based mining, clustering, advanced mining techniques, association rules, miscellaneous applications, and classification.

Download or read book Mastering Ansible written by James Freeman and published by Packt Publishing Ltd. This book was released on 2019-03-25 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design, develop, and solve real-world automation and orchestration problems by unlocking the automation capabilities of Ansible. Key FeaturesTackle complex automation challenges with the newly added features in Ansible 2.7Book Description Automation is essential for success in the modern world of DevOps. Ansible provides a simple, yet powerful, automation engine for tackling complex automation challenges. This book will take you on a journey that will help you exploit the latest version's advanced features to help you increase efficiency and accomplish complex orchestrations. This book will help you understand how Ansible 2.7 works at a fundamental level and will also teach you to leverage its advanced capabilities. Throughout this book, you will learn how to encrypt Ansible content at rest and decrypt data at runtime. Next, this book will act as an ideal resource to help you master the advanced features and capabilities required to tackle complex automation challenges. Later, it will walk you through workflows, use cases, orchestrations, troubleshooting, and Ansible extensions. Lastly, you will examine and debug Ansible operations, helping you to understand and resolve issues. By the end of the book, you will be able to unlock the true power of the Ansible automation engine and tackle complex, real- world actions with ease. What you will learnGain an in-depth understanding of how Ansible works under the hoodFully automate Ansible playbook executions with encrypted dataAccess and manipulate variable data within playbooksUse blocks to perform failure recovery or cleanupExplore the Playbook debugger and the Ansible ConsoleTroubleshoot unexpected behavior effectivelyWork with cloud infrastructure providers and container systemsDevelop custom modules, plugins, and dynamic inventory sourcesWho this book is for This book is for Ansible developers and operators who have an understanding of its core elements and applications but are now looking to enhance their skills in applying automation using Ansible.

Download or read book Progressive Methods in Data Warehousing and Business Intelligence Concepts and Competitive Analytics written by Taniar, David and published by IGI Global. This book was released on 2009-02-28 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides developments and research, as well as current innovative activities in data warehousing and mining, focusing on the intersection of data warehousing and business intelligence.

Download or read book Operations Management in Automotive Industries written by Marco Gobetto and published by Springer Science & Business Media. This book was released on 2013-10-23 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has proved its worth over the years as a text for courses in Production Management at the Faculty of Automotive Engineering in Turin, Italy, but deserves a wider audience as it presents a compendium of basics on Industrial Management, since it covers all major topics required. It treats all subjects from product development and “make or buy”-decision strategies to the manufacturing systems setting and management through analysis of the main resources needed in production and finally exploring the supply chain management and the procurement techniques. The very last chapter recapitulates the previous ones by analysing key management indicators to pursue the value creation that is the real purpose of every industrial enterprise. As an appendix, a specific chapter is dedicated to the basics of production management where all main relevant definitions, techniques and criteria are treated, including some numerical examples, in order to provide an adequate foundation for understanding the other chapters. This book will be of use not only to Automotive Engineering students but a wide range of readers who wish to gain insight in the world of automotive engineering and the automotive industry in general.

Download or read book Encyclopedia of Optimization written by Christodoulos A. Floudas and published by Springer Science & Business Media. This book was released on 2008-09-04 with total page 4646 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of the Encyclopedia of Optimization is to introduce the reader to a complete set of topics that show the spectrum of research, the richness of ideas, and the breadth of applications that has come from this field. The second edition builds on the success of the former edition with more than 150 completely new entries, designed to ensure that the reference addresses recent areas where optimization theories and techniques have advanced. Particularly heavy attention resulted in health science and transportation, with entries such as "Algorithms for Genomics", "Optimization and Radiotherapy Treatment Design", and "Crew Scheduling".