• Computer science
      April 2009

      Data Modeling for the Business

      A Handbook for Aligning the Business With It Using High-level Data Models

      by Steve Hoberman, Donna Burbank, Chris Bradley

      Learn about the High-Level Data Model and master the techniques for building one, including a comprehensive ten-step approach and hands-on exercises to help you practice topics on your own. Hear one of the authors, Steve Hoberman, talk about this book. In this book, we review data modeling basics and explain why the core concepts stored in a high-level data model can have significant business impact on an organization. We explain the technical notation used for a data model and walk through some simple examples of building a high-level data model. We also describe how data models relate to other key initiatives you may have heard of or may be implementing in your organization. This book contains best practices for implementing a high-level data model, along with some easy-to-use templates and guidelines for a step-by-step approach. Each step will be illustrated using many examples based on actual projects we have worked on. Names have been changed to protect the innocent, but the pain points and lessons have been preserved. One example spans an entire chapter and will allow you to practice building a high-level data model from beginning to end, and then compare your results to ours. Building a high-level data model following the ten step approach you’ll read about is a great way to ensure you will retain the new skills you learn in this book. As is the case in many disciplines, using the right tool for the right job is critical to the overall success of your high-level data model implementation. To help you in your tool selection process, there are several chapters dedicated to discussing what to look for in a high-level data modeling tool and a framework for choosing a data modeling tool, in general. This book concludes with a real-world case study that shows how an international energy company successfully used a high-level data model to streamline their information management practices and increase communication throughout the organization—between both businesspeople and IT. One of the most critical systems issues is aligning business with IT and fulfilling business needs using data models. The authors of Data Modeling for the Business do a masterful job at simply and clearly describing the art of using data models to communicate with business representatives and meet business needs. The book provides many valuable tools, analogies, and step-by-step methods for effective data modeling and is an important contribution in bridging the much needed connection between data modeling and realizing business requirements. Len Silverston, author of The Data Model Resource Book series

    • 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

    • Computer science
      January 2011

      Building the Agile Database

      How to Build a Successful Application Using Agile Without Sacrificing Data Management

      by Larry Burns

      Hear the author, Larry Burns, talk about his book. Is fast development the enemy of good development? Not necessarily. Agile development requires that databases are designed and built quickly enough to meet fast-based delivery schedules - but in a way that also delivers maximum business value and reuse. How can these requirements both be satisfied? This book, suitable for practitioners at all levels, will explain how to design and build enterprise-quality high-value databases within the constraints of an Agile project. Starting with an overview of the business case for good data management practices, the book defines the various stakeholder groups involved in the software development process, explains the economics of software development (including "time to market" vs. "time to money"), and describes an approach to Agile database development based on the five PRISM principles. This book explains how to work with application developers and other stakeholders, examines critical issues in Agile Development and Data Management, and describes how developers and data professionals can work together to make Agile projects successful while delivering maximum value data to the enterprise. Building the Agile Database will serve as an excellent reference for application developers, data managers, DBAs, project managers, Scrum Masters and IT managers looking to get more value from their development efforts. Larry Burns has worked in IT for more than 25 years as a database administrator, application developer, consultant and teacher.

    • Computer science
      November 2011

      UML and Data Modeling

      A Reconciliation

      by David C. Hay

      Here you will learn how to develop an attractive, easily readable, conceptual, business-oriented entity/relationship model, using a variation on the UML Class Model notation. Hear the author, David Hay, talk about his book. This book has two audiences: Data modelers (both analysts and database designers) who are convinced that UML has nothing to do with them; and UML experts who don’t realize that architectural data modeling really is different from object modeling (and that the differences are important). David Hay’s objective is to finally bring these two groups together in peace. Here all modelers will receive guidance on how to produce a high quality (that is, readable) entity/relationship model to describe the data architecture of an organization. The notation involved happens to be the one for class models in the Unified Modeling Language, even though UML was originally developed to support object-oriented design. Designers have a different view of the world from those who develop business-oriented conceptual data models, which means that to use UML for architectural modeling requires some adjustments. These adjustments are described in this book. David Hay is the author of Enterprise Model Patterns: Describing the World, a comprehensive model of a generic enterprise. The diagrams were at various levels of abstraction, and they were all rendered in the slightly modified version of UML Class Diagrams presented here. This book is a handbook to describe how to build models such as these. By way of background, an appendix provides a history of the two groups, revealing the sources of their different attitudes towards the system development process. If you are an old-school ER modeler and now find yourself having to come up to speed on UML to get that next job (or keep the current one), this is your guidebook to success. If you are a long time object oriented programmer who has to interact with data modelers, this book is for you too. David has done the hard work of mapping out how to do a logical entity relationship model using standard (and accepted) UML diagram components. This book shows you step-by-step, with ample examples, how to get from here to there with the least pain possible for all concerned. Kent Graziano Certified Data Vault Master and Oracle ACE Past-President of ODTUG & RMOUG

    • Computer science
      July 2012

      The Analytical Puzzle

      by David Haertzen

      Do you enjoy completing puzzles? Perhaps one of the most challenging (yet rewarding) puzzles is delivering a successful data warehouse suitable for data mining and analytics. The Analytical Puzzle describes an unbiased, practical, and comprehensive approach to building a data warehouse which will lead to an increased level of business intelligence within your organization. New technologies continuously impact this approach and therefore this book explains how to leverage big data, cloud computing, data warehouse appliances, data mining, predictive analytics, data visualization and mobile devices. Here are the main objectives for each of the book's 19 chapters: Chapter 1: Develop a foundational knowledge of data warehousing, business intelligence and analytics Chapter 2: Build the business case needed to sell your data warehousing project, and then produce a project plan that avoids common pitfalls Chapter 3: Elicit and organize business intelligence and data warehousing business requirements Chapter 4: Specify the technical architecture of the data warehousing system, including software and infrastructure components, technology stack, and non-functional requirements. Gain an understanding of cloud based data warehousing and data warehouse appliances Chapter 5: Learn about data attributes including metrics and key performance indicators (KPIs), the raw material of data warehousing and business intelligence Chapter 6: Learn about data modeling and how to apply design patterns for each part of the data warehouse Chapter 7: Speak the dimensional modeling language of measures, dimensions, facts, cubes, stars, and snowflakes Chapter 8: Organize a successful data governance program. Learn how to manage metadata for your data warehousing and business intelligence project Chapter 9: Identify useful data sources and implement a data quality program Chapter 10: Use database technology for your data warehousing project, and understand the impact of data warehouse appliances, big data, in memory databases, columnar databases and OnLine Analytical Processing (OLAP) Chapter 11: Apply data integration and understand the role data mapping, data cleansing, data transformation, and loading data play in a successful data warehouse Chapter 12: Use the business intelligence (BI) operations of slice, dice, drill down, roll up, and pivot to analyze and present data Chapter 13: Learn about descriptive and predictive statistics, and calculate mean, median, mode, variance and standard deviation Chapter 14: Harness analytical methods such as regression analysis, data mining, and statistics to make profitable decisions and anticipate the future Chapter 15: Appreciate the components and design patterns that compose a successful analytic application Chapter 16: Gain an understanding of the uses and benefits of scorecards and dashboards including support of mobile device users Chapter 17: Gain insight into applications of business intelligence that could profit your organization, including risk management, finance, marketing, government, healthcare, science and sports Chapter 18: Perform customer analytics to better understand and segment your customers Chapter 19: Test, roll out, and sustain the data warehouse David Haertzen is a seasoned data warehouse architect who has helped a diverse set of organizations from start-ups to multinationals to utilize data for their advantage. David teaches data modeling, data warehousing, data architecture, business intelligence and is also active as editor of the Infogoal.com Data Management Center. David is a graduate of the University of Minnesota and holds an MBA from the University of St. Thomas.

    • Computer science
      August 2012

      UML Requirements Modeling For Business Analysts

      by Norman Daoust

      Hear the author, Norman Daoust, talk about his book. This book provides you with a collection of best practices, guidelines, and tips for using the Unified Modeling Language (UML) for business analysis. The contents have been assembled over the years based on experience and documented best practices. Over sixty easy to understand UML diagram examples will help you to apply these ideas immediately. If you use, expect to use, or think you should use the Unified Modeling Language (UML) or use cases in your business analysis activities, this book will help you: communicate more succinctly and effectively with your stakeholders including your software development team, increase the likelihood that your requirements will be reviewed and understood, reduce requirements analysis, documentation, and review time. The first three chapters explain the reasons for utilizing the UML for business analysis, present a brief history of the UML and its diagram categories, and describe a set of general modeling guidelines and tips applicable to all of the UML diagram types. Each of the next thirteen chapters is dedicated to a different UML diagram type: Use Case Diagrams Activity Diagrams Interaction Overview Diagrams Class Diagrams Object Diagrams State Machine Diagrams Timing Diagrams Sequence Diagrams Communication Diagrams Composite Structure Diagrams Component Diagrams Deployment Diagrams Package Diagrams The next two chapters explain additional diagram types that are important for business analysts and that can be created using UML notation: Context Diagrams using Communication diagram notation Data Models using Class diagram notation These chapters are followed by a chapter that describes criteria for selecting the various diagram types. The final chapter presents a case study. Norman Daoust is a business analyst trainer, requirements modeler, data modeler, healthcare electronic data exchange specialist, fretted instrument specialist, and organic gardener. He is the principal consultant for Daoust Associates, a company based in Cambridge, Massachusetts, United States. He specializes in business analyst training, information modeling, and healthcare systems data integration.

    • Computer science
      October 2013

      UML Database Modeling Workbook

      by Michael Blaha

      Hear the author, Mike Blaha, talk about his book. With our appetites for data on the rise, it has become more important than ever to use UML (Unified Modeling Language) to capture and precisely represent all of these data requirements. Learn how to construct UML data models by working through a series of exercises and self-assessment tests. Beginners can learn the UML directly. Experienced modelers can leverage their understanding of existing database notations, as the book extensively compares the UML to traditional data modeling (Information Engineering). Discover a new way of representing data requirements and communicating better with your business customers. Understand what UML constructs mean and how to properly use them. Learn subtleties of the UML. Become a power UML developer. Practice constructing data models with the exercises. The back of the book answers every exercise. Assess your mastery of the material. Each part has a multiple-choice test that can quantify your understanding. Improve your ability to abstract - think about different ways of representation - as you construct data models. Measure the quality of your data models. Be able to create database designs (DDL code) starting from a UML data model. Be able to write SQL database queries using a data model as a blueprint. Know the differences among operational models, data warehouse models, enterprise models, and master models. They are all aspects of data modeling. This book is concise and to the point. You will learn by induction through reading, practice, and feedback. Since 1994 Michael Blaha has been a consultant and trainer in conceiving, architecting, modeling, designing, and tuning databases. He has worked with dozens of organizations around the world. Blaha has authored seven U.S. patents, six books, and numerous articles. He received his doctorate from Washington University in St. Louis and is an alumnus of GE Global Research in Schenectady, New York. He has worked in many problem domains and specializes in financial applications.

    • Computer science
      September 2013

      Extreme Scoping

      by Larissa T. Moss

      Do your business intelligence (BI) projects take too long to deliver? Is the value of the deliverables less than satisfactory? Do these projects propagate poor data management practices? If you screamed "yes" to any of these questions, read this book to master a proven approach to building your enterprise data warehouse and BI initiatives. Extreme Scoping, based on the Business Intelligence Roadmap, will show you how to build analytics applications rapidly yet not sacrifice data management and enterprise architecture. In addition, all of the roles required to deliver all seven steps of this agile methodology are explained along with many real-world examples. From Wayne Eckerson's Foreword I've read many books about data warehousing and business intelligence (BI). This book by Larissa Moss is one of the best. I should not be surprised. Larissa has spent years refining the craft of designing, building, and delivering BI applications. Over the years, she has developed a keen insight about what works and doesn't work in BI. This book brings to light the wealth of that development experience. Best of all, this is not some dry text that laboriously steps readers through a technical methodology. Larissa expresses her ideas in a clear, concise, and persuasive manner. I highlighted so many beautifully written and insightful paragraphs in her manuscript that it became comical. I desperately wanted the final, published book rather than the manuscript so I could dog-ear it to death and place it front-and-center in my office bookshelf! From David Well's Foreword Extreme Scoping is rich with advice and guidance for virtually every aspect of BI projects from planning and requirements to deployment and from back-end data management to front-end information and analytics services. Larissa is both a pragmatist and an independent thinker. Those qualities come through in the style of this book. Extreme Scoping is a well-written book that is easy to absorb. It is not full of surprises. It is filled with a lot of common sense and lessons learned through experience. Larissa Moss is founder and president of Method Focus Inc. She began her IT career over 30 years ago, and since 1988 she has worked primarily in data warehousing and business intelligence. She is a world renown author, lecturer, and speaker on the topics of data warehousing, business intelligence, master data management, project management, methodologies, data governance, and enterprise information management. She co-authored the books Data Warehouse Project Management, Impossible Data Warehouse Situations, Business Intelligence Roadmap, and Data Strategy.

    • Computer science
      October 2013

      Enterprise Architecture Made Simple

      by Håkan Edvinsson, Lottie Aderinne

      Hear one of the authors, Håkan Edvinsson, talk about his book. Learn how to institute and implement enterprise architecture in your organization. You can make a quick start and establish a baseline for your enterprise architecture within ten weeks, then grow and stabilize the architecture over time using the proven Ready, Set, Go Approach. Reading this book will: Give you directions on how to institute and implement enterprise architecture in your organization. You will be able to build close relationships with stakeholders and delivery teams, but you will not need to micromanage the architecture’s operations. Increase your awareness that enterprise architecture is about business, not information technology. Enable you to initiate and facilitate dramatic business development. The architecture of an enterprise must be tolerant of currently unknown business initiatives. Show you how to get a holistic view of the process of implementing enterprise architecture. Make you aware that information is a key business asset and that information architecture is a key part of the enterprise architecture. Allow you to learn from our experiences. This book is based on our 30 years of work in the enterprise architecture field, colleagues in Europe, customer cases, and students. We do not pretend to cover all you need to know about enterprise architecture within these pages. Rather, we give you the information that is most important for effective and successful guidance. Sometimes, less is more.

    • Computer science
      May 2014

      Data Scientist

      by Zacharias Voulgaris, PhD

      As our society transforms into a data-driven one, the role of the Data Scientist is becoming more and more important. If you want to be on the leading edge of what is sure to become a major profession in the not-too-distant future, this book can show you how. Each chapter is filled with practical information that will help you reap the fruits of big data and become a successful Data Scientist: Learn what big data is and how it differs from traditional data through its main characteristics: volume, variety, velocity, and veracity. Explore the different types of Data Scientists and the skillset each one has. Dig into what the role of the Data Scientist requires in terms of the relevant mindset, technical skills, experience, and how the Data Scientist connects with other people. Be a Data Scientist for a day, examining the problems you may encounter and how you tackle them, what programs you use, and how you expand your knowledge and know-how. See how you can become a Data Scientist, based on where you are starting from: a programming, machine learning, or data-related background. Follow step-by-step through the process of landing a Data Scientist job: where you need to look, how you would present yourself to a potential employer, and what it takes to follow a freelancer path. Read the case studies of experienced, senior-level Data Scientists, in an attempt to get a better perspective of what this role is, in practice. At the end of the book, there is a glossary of the most important terms that have been introduced, as well as three appendices - a list of useful sites, some relevant articles on the web, and a list of offline resources for further reading. Dr. Zacharias Voulgaris was born and raised in Greece. Upon completing a 5-year Engineering degree at the Technical University of Crete, he enrolled in the City University of London for a Masters course in Information Systems and Technology. Afterwards, he pursued a PhD in Birkbeck College (University of London), under the joint supervision of Prof. G. Magoulas and Prof. B. Mirkin, in the field of Machine Learning. Upon receiving his doctorate, he was recruited by the Georgia Institute of Technology as a research fellow. Since January 2013 he has been working as a Data Scientist.

    • Computer science
      October 2012

      Secrets of Analytical Leaders

      by Wayne Eckerson

      Imagine spending a day with top analytical leaders and asking any question you want. In this book, Wayne Eckerson illustrates analytical best practices by weaving his perspective with commentary from seven directors of analytics who unveil their secrets of success. With an innovative flair, Eckerson tackles a complex subject with clarity and insight. Each of the book's 20 chapters is a stand-alone essay on an analytical topic, yet collectively they form a concise methodology about how to implement a successful analytics program. Wayne Eckerson has created a unique - and uniquely valuable - book in "The Secrets of Analytical Leaders." He's pulled together the insights of seven leading analytics practitioners, and combined them with his own considerable experience. The result is an interesting dialogue among some really smart and distinguished people. I'm not sure which is more interesting - the format or the content! Thomas H. Davenport Visiting Professor, Harvard Business School Co-Founder and Director of Research International Institute for Analytics Professors are hard at work molding the world's future analytical leaders - but the chasm between theoretical textbook learning and the real world is considerable. Wayne, with his customary clarity and insight, helps professors cross the chasm by delivering frameworks, commentary, and scenarios that are real, interesting, and important. Hugh Watson Professor of MIS and a C. Herman and Mary Virginia Chair of Business Administration Terry College of Business, University of Georgia and Barbara Wixom Associate Professor at the McIntire School of Commerce, University of Virginia Research Affiliate, Sloan School of Management, Massachusetts Institute of Technology From the Foreword by Michael Halbherr, Executive Vice President, Nokia We are living in a time of radical change. From my vantage point as head of Nokia's Location and Commerce business, I see many business and technical trends shaping our future—and all depend on a new commodity: data. In our mapping business, I see the need to evolve from a road-centric tool to something that allows people to truly understand and maneuver the complexities of a modern city. To accomplish this, we need a lot of data and ways to correlate disparate information into what we call "Smart Data." Analytics is core to what we do, and how we deliver value to customers today and in the future. I recently spoke to the Nokia board about our data, and some members questioned how we could monetize this asset. Since a few members are executives in the oil industry, I told them that data is the "oil of the future", and that you monetize this new resource the same way you monetize oil, by spending time and money refining it. In our case, we are refining data about people, locations, social interactions, traffic, musical preferences, and so on to bring maps to life. The analytical leaders profiled in this book demonstrate how to refine data for business gain and innovation. They play a pivotal role by bridging the worlds of business and technology. When supported by the business, they've delivered remarkable solutions that have given their organizations a competitive edge. I highly recommend this book to anyone who wants to monetize the most important resource of our time: data. It's written in language that both a CEO and a CIO can understand, and carries important lessons no matter what side of the business-technology aisle someone sits. Wayne Eckerson has been a thought leader in the business intelligence and analytics field since the early 1990s. He has conducted numerous in-depth research studies and is the author of the best-selling book Performance Dashboards: Measuring, Monitoring, and Managing Your Business. He is a noted keynote speaker and blogger, and he consults and conducts workshops on many topics. Wayne is the founder of BI Leadership Forum, a network of business intelligence (BI) directors who meet regularly to exchange ideas about best practices in BI and educate the larger BI community. Wayne is also director of research at TechTarget where he writes a popular weekly blog called “Wayne's World of BI” that focuses on industry trends and examines best practices in the application of business intelligence. For many years, Wayne served as director of education and research at The Data Warehousing Institute (TDWI) where he oversaw the company's content and training programs and chaired its BI Executive Summit.

    • Computer science
      June 2011

      Distributed Agile

      Dh2a -- The Proven Agile Software Development Approach & Toolkit for Geographically Dispersed Teams

      by Upadrista Venkatesh

      If you have ever worked on an Agile software development project, you know the importance of face-to-face communication. Having both business and IT professionals working together in the same room can become the critical success factor. Can Agile be successful though when team members are scattered across rooms, buildings, regions, or even countries? Yes! By following the Design for Hybrid Agile Adoption (DH2A) approach, framework and set of templates and tools explained in this book, you can implement successful Agile projects. After reading this book, you will master these ten objectives: Assess your project's capability in adopting the DH2A Methodology Know how to apply the tools to determine whether your project will achieve the benefits promised by the DH2A Methodology Learn how the DH2A Methodology solves the traditional problem of Agile to estimate in a fixed price model Calculate the ratio of resources divided between different distributed locations Leverage DH2A Tools to adopt the different Engineering Practices in a distributed environment Apply collaboration techniques to make distributed Agile successful Use metrics to measure success of your distributed Agile projects Know which types of meetings are needed to make Agile successful in a distributed environment Assign the roles to make distributed Agile successful and to avoid redundant roles currently existing in today's Agile methodologies Rollout the DH2A Methodology across your entire organization Distributed Agile contains three sections. Section I provides the basics of distributed Agile and DH2A, compares collocated with distributed Agile, and shares the rewards of following a distributed Agile approach. Section II dives into the DH2A methodology, with entire chapters dedicated to the Appraisal Segment, Estimation Segment, Planning Segment, and Implementation Segment. In addition there is a chapter in Section II on the roles required to make DH2A a success. Section III focuses on the DH2A framework, with an emphasis on Project Management Office and Governance. Actual case studies are used to illustrate the many useful tools within this text.

    • Computer science
      August 2011

      Data Modeling Made Simple with CA ERwin Data Modeler r8

      With Ca Erwin Data Modeler R8

      by Donna Burbank, Steve Hoberman

      Hear one of the authors, Steve Hoberman, talk about this book. Data Modeling Made Simple with CA ERwin Data Modeler r8 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 CA ERwin Data Modeler r8. You’ll build many CA ERwin data models along the way, mastering first the fundamentals and later in the book the more advanced features of CA ERwin Data Modeler. This book combines real-world experience and best practices with down to earth advice, humor, and even cartoons to help you master the following ten objectives: Understand the basics of data modeling and relational theory, and how to apply these skills using CA ERwin Data Modeler Read a data model of any size and complexity with the same confidence as reading a book Understand the difference between conceptual, logical, and physical models, and how to effectively build these models using CA ERwin’s Data Modelers Design Layer Architecture Apply techniques to turn a logical data model into an efficient physical design and vice-versa through forward and reverse engineering, for both ‘top down’ and bottom-up design Learn how to create reusable domains, naming standards, UDPs, and model templates in CA ERwin Data Modeler to reduce modeling time, improve data quality, and increase enterprise consistency Share data model information with various audiences using model formatting and layout techniques, reporting, and metadata exchange Use the new workspace customization features in CA ERwin Data Modeler r8 to create a workflow suited to your own individual needs Leverage the new Bulk Editing features in CA ERwin Data Modeler r8 for mass metadata updates, as well as import/export with Microsoft Excel Compare and merge model changes using CA ERwin Data Modelers Complete Compare features Optimize the organization and layout of your data models through the use of Subject Areas, Diagrams, Display Themes, and more

    • Self-help & personal development

      What Your Animals Tell Me

      by Dr. Monica Diedrich

      This is not only a book about animal communication but reveals many things animals feel and want from their humans. Through over 50 case stories, this book will open your eyes to the rich inner world of your pets, their hopes, fears, concerns, thoughts and feelings. Never again will you say: It's only an animal. In this book, you will learn: To communicate with your pets to heal them and relieve suffering and stress. Learn whether animals have souls. Where they go when they die. How they communicate from the other side. That they understand about death and euthanasia and they take pride in their appearance. How, in multi-pet households, they establish a pecking order under the top dog; or top cat. Learn how to deal with behavior problems. Know why they love us totally and unconditionally.

    • Self-help & personal development

      Pets Have Feelings Too!

      Understanding Your Pet's Physical, Emotional and Spiritual Needs

      by Dr Monica Diedrich

      My dog can't walk. How did he get hurt? Why does my pet use the carpet instead of the grass? Does my cat have a soul? Do animals reincarnate? Can an animal be my soul mate? These are some of the questions for which you will get an answer in this book. Sharing over 60 heart-warming case studies in this book, animal communicator Dr Monica Diedrich answers these and many other unusual pet questions. You will marvel at the unique ways in which pets can guide their own physical recoveries, and your heart will be touched by the depth of their emotional and spiritual healings as well. You will even discover pet soul mates and the love pets show by coming back again to help their special people to heal or learn new lessons. Dr Monica's writing is filled with conversation, laughter, tears of empathy and, most of all, love. The book will show you, in an easy-to-read style: How pets use the language of pictures How one small pet detective described the burglars How another solved the mystery of his death That some pets can tell doctors what's wrong and how to fix it How pets help people to heal The importance of talking to your pet out loud That many problems can be fixed if you would listen to your pet That pets know when it's time to leave How some people learned important lessons from their pets during serious illnesses and other difficult life experiences.

    • Mind, Body, Spirit

      For Pet's Sake Do Something! Book Three

      How to Heal Your Pets Using Alternative & Complementary Therapies

      by Dr. Monica Diedrich

      What can I do to make my pet more comfortable if he has to cope with pain, illness, or a chronic condition? How can I improve my pet s overall health? How can I tell ahead of time if something I want to try may, or may not, work? In book three of the series, animal communicator Dr Monica Diedrich provides you with clear information about a variety of effective healing modalities you can easily use at home. Dr Monica shows you how to use: Flower Essences to restore spiritual balance and promote physical healing; Essential Oils to quickly and effectively transport oxygen and nutrients into every cell of the body; Homeopathy for healing based on the principle that "like heals like"; Magnetic Therapy, Massage, and Reflexology for relaxation, relieving pain, reducing anxiety, and promoting overall well-being; Sound, in its different healing forms, to serve as a bridge between body, mind, and spirit; Colour to influence how a pet feels and behaves; Crystals as a means for focusing healing energy; Incense fragrances to heal emotional and behavioural imbalances; Animal Communication and how important it is to heal at every level -- spiritual, mental and emotional Acupuncture and Acupressure to eliminate blockages in the body's energy system; Chiropractic to correct misalignments in a pet's body; Hydrotherapy to promote healing in a weightless environment. You will also learn about how to pre-test remedies, how pets age, what to have in a first aid kit, first aid for emergencies, poison-proofing your home, and how to provide for your pet if you are no longer there.

    • Mind, Body, Spirit

      For Pet's Sake Do Something! Book Two

      How to Heal Your Sick, Overfed and Bored Pets with Nutrition, Supplements, Herbs and Exercise

      by Dr Monica Diedrich

      Does your pet suffer from allergies or have a serious illness? Is he frequently under the weather, lacking in pep, or losing his stamina? Are you at your wits' end trying to find a remedy that might really work? Then it's time to "Do Something!" In the second book of the series, animal communicator Dr Monica Diedrich not only gives you hope that your pets can heal, but she also provides a wealth of practical "how-to" information. You have no doubt heard the expression, "We are what we eat" but do you realise that's true for your animals also? The right foods, nutritional supplements, and herbs can make the difference between a vibrant and longer life for your pet, or a life filled with multiple health challenges and high veterinary care bills. This book shows you how to: Select the highest quality commercial pet foods; Prepare a natural whole food diet for your pet, when you are on a busy schedule; Monitor dietary changes; Discover the effectiveness of herbs for healing your pets; Easily administer herbal remedies; Prepare and use herbal teas, tinctures, and elixirs; Make rinses, compresses, poultices and packs to provide sweet relief; Pre-test remedies before you buy them; Engage your pet in fulfilling exercise opportunities. You will also find lists of: a wide variety of herbs and their uses; essential vitamins, minerals, and nutritional supplements; foods all pets should avoid; nutritional support ideas for pets with major illnesses. Plus recipes for pets with serious diseases and other health challenges.

    • Artificial intelligence

      Intelligent Trading Systems

      Applying Artificial Intelligence to Financial Markets

      by Ondrej Martinsky

      This book deals with the issue of problematic market price prediction in the context of crowd behaviour affected by the psychology of the masses. It highlights the contrast between a phenomenon of mass psychology and the efficient market hypothesis, which is essentially based on a common economic theory. The basic assumption is that if there is a model of interaction between masses and agents participating in markets, then there also exist means for prediction of the whole market's behaviour, though nevertheless the behaviour of every single agent is not predictable.From a practical point of view, this book describes technical analysis methods used to predict price movements, and discusses a soft computing approach used in a composition of automated trading systems. This book brings alternative, soft computing computational models to trading strategies and innovatively combines two different areas of science - artificial intelligence and technical analysis. One of the main benefits of this book is a demonstration that the soft computing approach in a combination with the "soft" social sciences accounts more reliable results than the conventional mathematical models.This book is for anyone interested in trading, financial markets and security exchanges, as well as for those who have theoretical or practical knowledge from the fields of artificial intelligence and soft computing, and want to know how these topics can be applied in financial markets.

    • Cognition & cognitive psychology
      March 2003

      Cognitive Approach to Conscious Machines

      by Haikonen, Pentti O., A01

      Could a machine have an immaterial mind? The author argues that true conscious machines can be built, but rejects artificial intelligence and classical neural networks in favour of the emulation of the cognitive processes of the brain—the flow of...

    • Mind, Body, Spirit

      For Pet's Sake Do Something! Book One

      How to Communicate with Your Pets and Help Them Heal

      by Dr Monica Diedrich

      There seems to be an emergency in the middle of the night, but you can't get to the veterinary hospital. Or your pet is living with a chronic condition, and veterinary medicine can't do anything more to relieve it. You are on an emotional roller coaster with worry, fear, grief and an overwhelming sense of helplessness. You wish you could ask your pet to tell you what's wrong. You want, with all your heart, to "Do Something"! Animal Communicator Dr Monica Diedrich faced this very same dilemma when her two-year-old Shih-tzu was close to death. As she lay on the floor beside him, she clearly heard him say, "You call yourself a healer . . . so do something!" She did as he requested, and he experienced an almost miraculous recovery. It was Chop Chop's heart-felt plea that then inspired Dr Monica to develop this series of books. In each book she provides a wealth of both spiritual and practical ideas to help you, as pet parents, "Do Something" when you are faced with similar challenges. In this first book in the series, Dr Monica clearly shows you how to: Engage in a real conversation with your pets about everyday things; Discover where it hurts and what to do about it; Use intention and visualisation as a catalyst for a speedy recovery; Utilise the healing benefits of aura and chakra energy; Select from among six guided meditations to help your pet to heal; Discover your own inner power to use the healing energy of love.

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