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      • Computer science
        October 2011

        Data Modeling Made Simple with PowerDesigner

        by Steve Hoberman, George McGeachie

        Data Modeling Made Simple with PowerDesigner will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices, and how to apply these principles with PowerDesigner.   Hear one of the authors, Steve Hoberman, talk about this book.   You'll build many PowerDesigner data models along the way, increasing your skills first with the fundamentals and later with more advanced feature of PowerDesigner. This book combines real-world experience and best practices to help you master the following ten objectives:   This book has ten key objectives for you, the reader: You will know when a data model is needed and which PowerDesigner models are the most appropriate for each situation You will be able to read a data model of any size and complexity with the same confidence as reading a book You will know when to apply and how to make use of all the key features of PowerDesigner You will be able to build, step-by-step in PowerDesigner, a pyramid of linked data models, including a conceptual data model, a fully normalized relational data model, a physical data model, and an easily navigable dimensional model You will be able to apply techniques such as indexing, transforms, and forward engineering to turn a logical data model into an efficient physical design You will improve data governance and modeling consistency within your organization by leveraging features such as PowerDesigner’s reference models, Glossary, domains, and model comparison and model mapping techniques You will know how to utilize dependencies and traceability links to assess the impact of change You will know how to integrate your PowerDesigner models with externally-managed files, including the import and export of data using Excel and Requirements documents You will know where you can take advantage of the entire PowerDesigner model set, to increase the success rate of corporate-wide initiatives such as business intelligence and enterprise resource planning (ERP) You will understand the key differentiators between PowerDesigner and other data modeling tools you may have used before

      • Databases
        September 2019

        Blockchain for Beginners

        by Yathish. R

        Ever gone through hundred and ten resources for blockchain and still not able to figure out where to start off. Well this book would lay the foundation for most of the concepts that you would require to at least get started somewhere and scratch the surface of this hyped technology. From the different underlying technicalities to the diversity of platforms, from the variety of scenarios where Blockchain fits to understanding when it would be an overkill, from learning the two most important platforms to getting you started for creating your own applications on top of them, from various simple humorous references to intriguing exercises, this book aims to not only make you feel comfortable with the technology but also confident enough to ponder more about it.

      • Databases
        October 2019

        Data Science for Professionals

        by Prof. N.C. Das

        The book is meant for a wide-spectrum of readership-empirical scientists, consultants, technocrats, advertisers, researchers and students learning Data Science for conducting small replicated or non-replicated experiments / demonstrations. It deals with two-factor three-level designs to be conducted only in six experimental units. For this an exhaustive set of 9c6=9c3 = 84 designs have been generated. Least Square algorithm has been applied for estimating separate effect of each component and their interaction along with fitting of response surface; meeting both the objectives for any factorial experiment. Of them seventy-six could be found as valid or estimable designs and the rest as non-estimable ones. Value of the determinant obtained for Least Square Matrix for each such design has been the indicator of its D-optimality status: the same could also be obtained from geometric structure of the designs. Such exhaustive search ascertains (8+4) D-optimal designs; of them only (1+3) are hitherto known. Also, rotatable feature of any such design does not affect its D-optimality status. A simple method SAME has been devised to meet the said twin objectives, thus escaping matrix formation and related operations. Each such design could be combined to form pair of replicates or blocks of an experiment so as to fetch statistical significance test based on ANOVA and fitting the response surface.

      • Data capture & analysis
        March 2023

        Data Acquisition and Analysis in Geoinformatics

        by Adikant Pradhan

        This book fills the need of upcoming changes in geo-informatics and basic level up-gradation and comprehensive text on digital technology under varying circumstances for the students at undergraduate and post-graduate studies. This will be of immense use in dealing basic principles envisage knowledge and applied aspects of digital mapping of natural resources for students, scientists, extension workers as well as teachers engaged in delivering lectures in class rooms. Remote sensing includes GIS to process data as per need have been explained with maximum accuracy kept in mind during final shape of the book. This book contains ten chapters covering GIS, GPS, Cartography, digital terrain analysis, aerial photography, topographical map, drone technology, image processing, remote sensing remote sensing imagery along with suitable example executed in fields using these technologies for agriculture, soil conservation, geo-informatics, mappers and field workers.

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