Data Reality

Download or read book Data and Reality written by William Kent and published by North Holland. This book was released on 1978 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: The nature of an information system; Naming; Relationships; Attributes; Types and categories and sets; Models; The record model; The other three popular models; The modelling of relationships; Elementary concepts; Philosophy.

Download or read book Avoiding Data Pitfalls written by Ben Jones and published by John Wiley & Sons. This book was released on 2019-11-19 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Avoid data blunders and create truly useful visualizations Avoiding Data Pitfalls is a reputation-saving handbook for those who work with data, designed to help you avoid the all-too-common blunders that occur in data analysis, visualization, and presentation. Plenty of data tools exist, along with plenty of books that tell you how to use them—but unless you truly understand how to work with data, each of these tools can ultimately mislead and cause costly mistakes. This book walks you step by step through the full data visualization process, from calculation and analysis through accurate, useful presentation. Common blunders are explored in depth to show you how they arise, how they have become so common, and how you can avoid them from the outset. Then and only then can you take advantage of the wealth of tools that are out there—in the hands of someone who knows what they're doing, the right tools can cut down on the time, labor, and myriad decisions that go into each and every data presentation. Workers in almost every industry are now commonly expected to effectively analyze and present data, even with little or no formal training. There are many pitfalls—some might say chasms—in the process, and no one wants to be the source of a data error that costs money or even lives. This book provides a full walk-through of the process to help you ensure a truly useful result. Delve into the "data-reality gap" that grows with our dependence on data Learn how the right tools can streamline the visualization process Avoid common mistakes in data analysis, visualization, and presentation Create and present clear, accurate, effective data visualizations To err is human, but in today's data-driven world, the stakes can be high and the mistakes costly. Don't rely on "catching" mistakes, avoid them from the outset with the expert instruction in Avoiding Data Pitfalls.

Download or read book Data and Reality written by William Kent and published by Technics Publications. This book was released on 2012-01-01 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 and easy-to-grasp 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 in most organizations, and how can the logical data model help bridge this chasm? • 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.

Download or read book Developing Spatial Data Infrastructures written by Ian P. Williamson and published by CRC Press. This book was released on 2003-07-10 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expert perspectives on SDI theory and practice The spatial data infrastructure (SDI) concept continues to evolve and become an increasingly important element of the infrastructure that supports economic development, environmental management, and social stability. Because of its dynamic and complex nature, however, it remains a fuzzy concept

Download or read book Dear Data written by Giorgia Lupi and published by Chronicle Books. This book was released on 2016-09-13 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere.

Download or read book Data Science Uncovering the Reality written by Pulkit Bansal, Kunal Kishore, Pankaj Gupta, Srijan Saket, Neeraj Kumar and published by Notion Press. This book was released on 2020-04-15 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science has become a popular field of work today. However a good resource to understand applied Data Science is still missing. In Data Science Uncovering the Reality, a group of IITians unravel how Data Science is done in the industry. They have interviewed Data Science and technology leaders at top companies in India and presented their learnings here. This book will give you honest answers to questions such as: How to build a career in Data Science? How A.I. is used in the world’s most successful companies. How Data Science leaders actually work and the challenges they face.

Download or read book Facing Reality written by Charles Murray and published by Encounter Books. This book was released on 2021-06-15 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: The charges of white privilege and systemic racism that are tearing the country apart fIoat free of reality. Two known facts, long since documented beyond reasonable doubt, need to be brought into the open and incorporated into the way we think about public policy: American whites, blacks, Hispanics, and Asians have different violent crime rates and different means and distributions of cognitive ability. The allegations of racism in policing, college admissions, segregation in housing, and hiring and promotions in the workplace ignore the ways in which the problems that prompt the allegations of systemic racism are driven by these two realities. What good can come of bringing them into the open? America’s most precious ideal is what used to be known as the American Creed: People are not to be judged by where they came from, what social class they come from, or by race, color, or creed. They must be judged as individuals. The prevailing Progressive ideology repudiates that ideal, demanding instead that the state should judge people by their race, social origins, religion, sex, and sexual orientation. We on the center left and center right who are the American Creed’s natural defenders have painted ourselves into a corner. We have been unwilling to say openly that different groups have significant group differences. Since we have not been willing to say that, we have been left defenseless against the claims that racism is to blame. What else could it be? We have been afraid to answer. We must. Facing Reality is a step in that direction.