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      • Building the Unstructured Data Warehouse
        Data warehousing
        January 2011

        Building the Unstructured Data Warehouse

        Architecture, Analysis & Design

        by Bill Inmon, Krish Krishnan

        Learn essential techniques from data warehouse legend Bill Inmon on how to build the reporting environment your business needs now!Answers for many valuable business questions hide in text. How well can your existing reporting environment extract the necessary text from email, spreadsheets, and documents, and put it in a useful format for analytics and reporting? Transforming the traditional data warehouse into an efficient unstructured data warehouse requires additional skills from the analyst, architect, designer, and developer. This book will prepare you to successfully implement an unstructured data warehouse and, through clear explanations, examples, and case studies, you will learn new techniques and tips to successfully obtain and analyze text.Master these ten objectives:Build an unstructured data warehouse using the 11-step approachIntegrate text and describe it in terms of homogeneity, relevance, medium, volume, and structureOvercome challenges including blather, the Tower of Babel, and lack of natural relationshipsAvoid the Data Junkyard and combat the Spider's WebReuse techniques perfected in the traditional data warehouse and Data Warehouse 2.0,including iterative developmentApply essential techniques for textual Extract, Transform, and Load (ETL) such as phrase recognition, stop word filtering, and synonym replacementDesign the Document Inventory system and link unstructured text to structured dataLeverage indexes for efficient text analysis and taxonomies for useful external categorizationManage large volumes of data using advanced techniques such as backward pointersEvaluate technology choices suitable for unstructured data processing, such as data warehouse appliancesThe following outline briefly describes each chapter's content:Chapter 1 defines unstructured data and explains why text is the main focus of this book.Chapter 2 addresses the challenges one faces when managing unstructured data.Chapter 3 discusses the DW 2.0 architecture, which leads into the role of the unstructured data warehouse. The unstructured data warehouse is defined and benefits are given. There are several features of the conventional data warehouse that can be leveraged for the unstructured data warehouse, including ETL processing, textual integration, and iterative development. Chapter 4 focuses on the heart of the unstructured data warehouse: Textual Extract, Transform, and Load (ETL).Chapter 5 describes the 11 steps required to develop the unstructured data warehouse.Chapter 6 describes how to inventory documents for maximum analysis value, as well as link the unstructured text to structured data for even greater value.Chapter 7 goes through each of the different types of indexes necessary to make text analysis efficient. Indexes range from simple indexes, which are fast to create and are good if the analyst really knows what needs to be analyzed before the indexing process begins, to complex combined indexes, which can be made up of any and all of the other kinds of indexes.Chapter 8 explains taxonomies and how they can be used within the unstructured data warehouse.Chapter 9 explains ways of coping with large amounts of unstructured data. Techniques such as keeping the unstructured data at its source and using backward pointers are discussed. The chapter explains why iterative development is so important.Chapter 10 focuses on challenges and some technology choices that are suitable for unstructured data processing. In addition, the data warehouse appliance is discussed.Chapters 11, 12, and 13 put all of the previously discussed techniques and approaches in context through three case studies. About Bill Bill Inmon, the father of data warehousing, has written 52 books translated into 9 languages. Bill has written over 1000 articles and conducted seminars and spoken at conferences on every continent except Antarctica. Bill holds three software patents and his latest company is Forest Rim Technology, a company dedicated to the access and integration of unstructured data into the structured world. About Krish Krish Krishnan is a recognized thought leader in Data Warehouse Performance and Architecture. Krish writes and teaches Social Intelligence across the world and is a frequent speaker at industry conferences. He provides consulting advice to CxO's on DW Strategy and is an Independent Analyst covering the Data Warehouse and Business Intelligence Industry.

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      • Data Modeling Made Simple with PowerDesigner
        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

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      • Blockchain for Beginners
        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.

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      • Data Science for Professionals
        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.

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      • BIG DATA ANALYTICS
        Data mining

        BIG DATA ANALYTICS

        by KULKARNI, PARAG and JOSHI, SARANG and BROWN, META S.

        The book is an unstructured data mining quest, which takes the reader through different features of unstructured data mining while unfolding the practical facets of Big Data. It emphasizes more on machine learning and mining methods required for processing and decision-making. The text begins with the introduction to the subject and explores the concept of data mining methods and models along with the applications. It then goes into detail on other aspects of Big Data analytics, such as clustering, incremental learning, multi-label association and knowledge representation. The readers are also made familiar with business analytics to create value. The book finally ends with a discussion on the areas where research can be explored.   The book is designed for the senior level undergraduate, and postgraduate students of computer science and engineering.   KEY FEATURESContains numerous examples and case studies. Discusses Apache’s Hadoop—a software framework that enables distributed processing of large datasets across the clusters of computing machines. Incorporates review questions, MCQs, laboratory assignments and critical thinking questions at the end of the chapters, wherever required.   Google Preview: https://bit.ly/3vsWYc5

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      • Data and Reality
        Data warehousing
        February 2012

        Data and Reality

        A Timeless Perspective On Perceiving & Managing Information in Our Imprecise World -- 3rd Edition

        by William Kent

        Let's step back to the year 1978. Sony introduces hip portable music with the Walkman, Illinois Bell Company releases the first mobile phone, Space Invaders kicks off the video game craze, and William Kent writes Data and Reality. We have made amazing progress in the last four decades in terms of portable music, mobile communication, and entertainment, making devices such as the original Sony Walkman and suitcase-sized mobile phones museum pieces today. Yet remarkably, the book Data and Reality is just as relevant to the field of data management today as it was in 1978. Data and Reality gracefully weaves the disciplines of psychology and philosophy with data management to create timeless takeaways on how we perceive and manage information. Although databases and related technology have come a long way since 1978, the process of eliciting business requirements and how we think about information remains constant. This book will provide valuable insights whether you are a 1970s data-processing expert or a modern-day business analyst, data modeler, database administrator, or data architect.This third edition of Data and Reality differs substantially from the first and second editions. Data modeling thought leader Steve Hoberman has updated many of the original examples and references and added his commentary throughout the book, including key points at the end of each chapter. The important takeaways in this book are rich with insight yet presented in a conversational writing style. Here are just a few of the issues this book tackles:Has "business intelligence" replaced "artificial intelligence"?Why is a map's geographic landscape analogous to a data model's information landscape?Where do forward and reverse engineering fit in our thought process?Why are we all becoming "data archeologists"?What causes the communication chasm between the business professional and the information technology professional, and how can the logical data model bridge this gap?Why do we invest in hardware and software to solve business problems before determining what the business problems are in the first place?What is the difference between oneness, sameness, and categories?Why does context play a role in every design decision?Why do the more important attributes become entities or relationships?Why do symbols speak louder than words?What's the difference between a data modeler, a philosopher, and an artist?Why is the 1975 dream of mapping all attributes still a dream today?What influence does language have on our perception of reality? Can we distinguish between naming and describing?From Graeme Simsion's foreword:While such fundamental issues remain unrecognized and unanswered, Data and Reality, with its lucid and compelling elucidation of the questions, needs to remain in print. I read the book as a database administrator in 1980, as a researcher in 2002, and just recently as the manuscript for the present edition. On each occasion I found something more, and on each occasion I considered it the most important book I had read on data modeling. It has been on my recommended reading list forever. The first chapter in particular should be mandatory reading for anyone involved in data modeling. In publishing this new edition, Steve Hoberman has not only ensured that one of the key books in the data modeling canon remains in print, but has added his own comments and up-to-date examples, which are likely to be helpful to those who have come to data modeling more recently. Don't do any more data modeling work until you've read it. About William: William Kent (1936-2005) was a renowned researcher in the field of data modeling. Author of Data and Reality, he wrote scores of papers and spoke at conferences worldwide, posing questions about database design and the management of information that remain unanswered today. Though he earned a bachelor's degree in chemical engineering and a master's in mathematics, he had no formal training in computer science. Kent worked at IBM and later at Hewlett-Packard Laboratories, where he helped develop prototype database systems. He also served on or chaired several international standards committees. Kent lived in New York City and later Menlo Park, Calif., before retiring to Moab, Utah, to pursue his passions of outdoor photography and protecting the environment. About Steve: Steve is currently a data modeling consultant and instructor. He taught his first data modeling class in 1992 and has educated more than 10,000 people about data modeling and business intelligence techniques since then. Steve balances the formality and precision of data modeling with the realities of building software systems with severe time, budget, and people constraints. In his consulting and teaching, he focuses on templates, tools, and guidelines to reap the benefits of data modeling with minimal investment. Steve is the author of five books on data modeling, the founder of the Design Challenges group, and inventor of the Data Model Scorecard.

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      • Data Modeling Made Simple
        Databases
        October 2009

        Data Modeling Made Simple

        A Practical Guide for Business and It Professionals

        by Steve Hoberman

        Hear the author, Steve Hoberman, talk about his book.   Data Modeling Made Simple will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices. This book is written in a conversational style that encourages you to read it from start to finish and master these ten objectives: Know when a data model is needed and which type of data model is most effective for each situation Read a data model of any size and complexity with the same confidence as reading a book Build a fully normalized relational data model, as well as an easily navigatable dimensional model Apply techniques to turn a logical data model into an efficient physical design Leverage several templates to make requirements gathering more efficient and accurate Explain all ten categories of the Data Model Scorecard Learn strategies to improve your working relationships with others Appreciate the impact unstructured data has, and will have, on our data modeling deliverables Learn basic UML concepts Put data modeling in context with XML, metadata, and agile development

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      • The Ludlum Prediction
        Thriller / suspense

        The Ludlum Prediction

        by Quentin Cope

        The Ludlum Prediction It’s the year 2018.  North Platte, Lincoln County is a place noted for declining employment prospects at the once famous railroad depot ... and little else. For Ed Ludlum, he could reside anywhere and still earn a good living as a ‘Data Miner’ ... someone who cannot only tell you what you’ll shop for next Wednesday at three o’clock, but which shop you’ll use ... and what shelf you’ll find it on. However, a powerful, wealthy and well connected US based secretive religious sect, the Messianic Tribes of Yashoa, known by many simply as the MTY, wish to avail themselves of Ed Ludlum’s unique services ... and they are willing to pay well for it. They want to extract a date and a place from hundreds of terabytes of data, collected over many years from the darkest depths of some ancient sciences and leftover mysterious hieroglyphs, abandoned by long lost civilisations. But what is all this high tech computer based research for? The work of  Ed Ludlum soon comes to the attention of some of the most powerful Intelligence Agencies in the world, such as the CIA, the British SIS and the much feared Israeli Mossad, becoming known as ‘The Ludlum Prediction’ ... a prophesy that if fulfilled, could possibly change the world as we know it ... forever! Sitting on the sidelines, surrounded by Vatican based Cardinals whose common survival plan is based on ignorance and self serving edicts, is one man with the power and determination to thwart the best laid plans of highly professional State Intelligence Agents. He knows that if ‘The Ludlum Prediction’ is in any way linked to the expected appearance of a new prophet, or religious deity, then the Catholic Church could be led to the edge of a credibility precipice. Has Ed Ludlum got it right? With the surprise discovery of 3000 year old tablets linking two great civilisations and key religious beliefs together ... half a world apart ... he thinks he has. However, the very best of carefully executed plans can fail, as they did, so horrifically in the chilling final hours of what was to be the end game adventure, played out on a remote Tibetan plateau ... only miles from the militarily sensitive Chinese border. Will this bring an end to all the speculation and questions of legitimacy surrounding ‘The Ludlum Prediction’, or trigger a new series of events that could inevitably lead to the beginning of a new world crisis? Perhaps there is something even more sinister afoot, urging Ludlum down a path ... to a place ... from which there will be no possible return! Could The Ludlum Prediction in fact be reality? Is it about to happen ... or, more concerning ... could it have happened already? You decide..!

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      • The Minimum You Need to Know to Be an OpenVMS Application Developer
        Computing & IT

        The Minimum You Need to Know to Be an OpenVMS Application Developer

        by Roland Hughes

        For years now the question has been surfacing in the OpenVMS community "Where are the pimply faced kids?" The other situation which seems to continually occur is a developer of one language suddenly finding themselves having to modify or maintain an application written in a language completely foreign to them. This book was a year long effort to answer both of those questions. It also should help those to work on a good platform. Once the rudimentaries of logging in, symbols, logicals and the various editors are handled this book takes the reader on a journey of development using the most common tools encountered on the OpenVMS platform and one new tool making headway. A single sample application (a lottery tracking system) is developed using FMS and RMS indexed files in each of the covered languages. (BASIC, FORTRAN, COBOL and C/C++). The reader is exposed on how to use CDD, CMS and MMS with these languages as well. A CD-ROM is included which contains the source, MMS and command files developed through the course of the book. Once RMS has been covered with all of the languages the same application using MySQL with C and FMS is covered. This breaks readers into the use of relational databases if they are not currently familiar with the concept. Rounding out the technical portion of the book is the same application using RDB with FMS. While source code is provided for all of the language implementations only FORTRAN and COBOL are actually covered in the text. It is the hope of the author that this book will prove a useful reference on the desk of every OpenVMS developer. The inclusion of MySQL should benefit both those unfamiliar with relational technology and those platformveterans interested in playing with MySQL for the first time.

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      • Data Acquisition and Analysis in Geoinformatics
        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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      • Running IT Like a Business
        Databases

        Running IT Like a Business

        A Step-by-step Guide to Accenture's Internal It

        by Robert E. Kress

        Uncover the secrets of an award-winning IT function and apply them to your business! Global management, technology and outsourcing company Accenture has achieved incredible results through the transformation of its IT function. It has doubled its revenues in ten years, significantly decreased its IT spending despite an increase in workforce of nearly 300%, and its number of satisfied customers is growing and growing. Discover how it has achieved this, and how you can realize similar benefits in your organization. The key to unlocking your IT function's hidden potential Running IT like a Business will show you how your IT function can provide much more than products and services and add real value to your business. With clear strategies, helpful diagrams and real-life examples, this book will give you the keys to unlocking your IT function’s hidden potential. The benefits This book will show you how your IT function can: use the latest technology developments to help your organization to do things better, faster and more cheaply take advantage of communication and collaboration technologies to facilitate networking across the enterprise, leading to greater synergy and higher productivity identify and analyze business risks and apply measures to reduce these risks implement technologies to diversify and grow your business develop vital communication skills and techniques to facilitate the change process realize cost savings across the organization. The secrets Robert E. Kress will let you in on some of Accenture’s secrets to its award-winning way of running IT like a business, including: the seven key elements of its IT strategy many of its ‘tricks of the trade’ the building blocks and core capabilities of Accenture and other high-performance organizations.

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