Database Dreaming Volume I

Database Dreaming Volume I

Author: C. J. Date

Publisher: Technics Publications

Published: 2022-02-11

Total Pages: 243

ISBN-13: 1634629841

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Along with its companion volume (Database Dreaming Volume II), this book offers a collection of essays on the general topic of relational databases and relational database technology. Most of those essays, though not all, have been published before, but only in journals and magazines that are now hard to find or in books that are now out of print. Here’s a lightly edited excerpt from the preface (so this is the author speaking): I went back and reviewed all of those early essays, looking for ones that seemed worth reviving (or, rather, revising and reviving) at this time. Of course, some of them definitely weren’t! However, out of a total of around 130 original papers, I did find some 20 or so that seemed to me worth preserving and hadn’t already been incorporated in, or superseded by, more recent books of mine. So I tracked down the original versions of those 20 or so papers and set to work. When I was done, though, I found I had somewhere in excess of 600 pages on my hands—too much, in my view, for just one book, and so I split them across two separate volumes. Highlights of the present volume include a discussion of the difficulties involved in providing a relational interface to a nonrelational system; a tutorial on the quantifiers and what happens to them under three-valued logic; an examination of the effect of user defined types on optimization; some thoughts on normalization and database design tools; and caveats regarding certain important database operators, especially outer join and negation.


Database Dreaming Volume II

Database Dreaming Volume II

Author: C. J. Date

Publisher: Technics Publications

Published: 2022-02-11

Total Pages: 278

ISBN-13: 1634629906

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Along with its companion volume (Database Dreaming Volume I), this book offers a collection of essays on the general topic of relational databases and relational database technology. Most of those essays, though not all, have been published before, but only in journals and magazines that are now hard to find or in books that are now out of print. Here’s a lightly edited excerpt from the preface (so this is the author speaking): I went back and reviewed all of those early essays, looking for ones that seemed worth reviving (or, rather, revising and reviving) at this time. Of course, some of them definitely weren’t! However, out of a total of around 130 original papers, I did find some 20 or so that seemed to me worth preserving and hadn’t already been incorporated in, or superseded by, more recent books of mine. So I tracked down the original versions of those 20 or so papers and set to work. When I was done, though, I found I had somewhere in excess of 600 pages on my hands—too much, in my view, for just one book, and so I split them across two separate volumes. Highlights of the present volume include a detailed explanation of the multiple assignment operator and why it’s so essential; an investigation into why object and database technologies are so much more different than they’re often made out to be; a critical examination of SQL’s support for pointers (“references”); a tutorial on the counterintuitive (but crucial) concept of tables with no columns; and an annotated and extended debate between the author and E. F. Codd, inventor of the relational model, on the subject of nulls and three-valued logic.


Database of Dreams

Database of Dreams

Author: Rebecca Lemov

Publisher: Yale University Press

Published: 2015-11-24

Total Pages: 369

ISBN-13: 0300216645

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Just a few years before the dawn of the digital age, Harvard psychologist Bert Kaplan set out to build the largest database of sociological information ever assembled. It was the mid-1950s, and social scientists were entranced by the human insights promised by Rorschach tests and other innovative scientific protocols. Kaplan, along with anthropologist A. I. Hallowell and a team of researchers, sought out a varied range of non-European subjects among remote and largely non-literate peoples around the globe. Recording their dreams, stories, and innermost thoughts in a vast database, Kaplan envisioned future researchers accessing the data through the cutting-edge Readex machine. Almost immediately, however, technological developments and the obsolescence of the theoretical framework rendered the project irrelevant, and eventually it was forgotten.


Database Internals

Database Internals

Author: Alex Petrov

Publisher: O'Reilly Media

Published: 2019-09-13

Total Pages: 373

ISBN-13: 1492040312

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When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency


Dream Maker

Dream Maker

Author: Kristen Ashley

Publisher: Forever

Published: 2020-05-26

Total Pages: 397

ISBN-13: 1538733870

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Two broken hearts find love and healing in each other in this sexy contemporary romance spin-off from the New York Times bestselling author of the Rock Chick and Dream Man series. Evan "Evie" Gardiner has spent her whole life being the responsible one in her family, but enough is enough. It's time to pursue her own dreams. Evie's finally going to finish that engineering degree she's been working toward. But first she needs to come up with the money to pay for tuition. Working as a dancer at Smithie's club seems like the perfect solution to her problems . . . until her family lands in yet another scrape and comes to Evie for help. Only, this time, her family's recklessness is risking more than her dreams-it's endangering her life. Daniel "Mag" Magnusson knows a thing or two about desperation and disappointment, but no one notices that his good looks and quick wit hide the painful memories that haunt him. When Evie's family puts her in danger, Mag insists on offering Evie his protection. He has the skills to guard Evie's life, but as they grow closer, Mag realizes he'll need to come face-to-face with his demons to prove himself as the man who will protect her heart.


Database of Dreams

Database of Dreams

Author: Rebecca Maura Lemov

Publisher: Yale University Press

Published: 2015-01-01

Total Pages: 369

ISBN-13: 0300209525

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"Just a few years before the dawn of the digital age, Harvard psychologist Bert Kaplan set out to build the largest database of sociological information ever assembled. It was the mid-1950s, and social scientists were entranced by the human insights promised by Rorschach tests and other innovative scientific protocols. Kaplan, along with anthropologist A.I. Hallowell and a team of researchers, sought out a varied range of non-European subjects among remote and largely non-literate peoples around the globe. Recording their dreams, stories, and innermost thoughts in a vast database, Kaplan envisioned future researchers accessing the data through the cutting-edge Readex machine. Almost immediately, however, technological developments and the obsolescence of the theoretical framework rendered the project irrelevant, and eventually it was forgotten.... In a scrupulously researched and captivating new book, Rebecca Lemov recounts the story of Kaplan's quest and brings to light an informative and disturbing chapter in the prehistory of Big Data."--Dust jacket.


Author:

Publisher:

Published:

Total Pages: 220

ISBN-13: 3031355393

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E. F. Codd and Relational Theory, Revised Edition

E. F. Codd and Relational Theory, Revised Edition

Author: C. J. Date

Publisher: Technics Publications

Published:

Total Pages: 307

ISBN-13: 1634629302

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E. F. Codd’s relational model of data has been described as one of the three greatest inventions of all time (the other two being agriculture and the scientific method), and his receipt of the 1981 ACM Turing Award, the top award in computer science, for inventing it was thoroughly deserved. The papers in which Codd first described his model were staggering in their originality; they had, and continue to have, a huge impact on just about every aspect of the way we do business in the world today. And yet few people, even in the professional database community, are truly familiar with those papers. This book—a thorough overhaul and rewrite of an earlier book by the same name—is an attempt to remedy this sorry state of affairs. In it, well known author C. J. Date provides a detailed examination of all of Codd’s major database publications, explaining the nature of his contribution in depth, and in particular highlighting not only the many things he got right but also some of the things he got wrong. Database theory and practice have evolved considerably since Codd first defined his relational model, back in 1969. This book draws on decades of experience to present the most up to date treatment of the material possible. Anyone with a professional interest in databases can benefit from the insights it contains. The book is product independent.


Big Data at Work

Big Data at Work

Author: Thomas Davenport

Publisher: Harvard Business Review Press

Published: 2014-02-04

Total Pages: 241

ISBN-13: 1422168174

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Go ahead, be skeptical about big data. The author was—at first. When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold. This book will help you understand: • Why big data is important to you and your organization • What technology you need to manage it • How big data could change your job, your company, and your industry • How to hire, rent, or develop the kinds of people who make big data work • The key success factors in implementing any big data project • How big data is leading to a new approach to managing analytics With dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities—from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource.


GOVERNANCE OF/THROUGH BIG DATA. Volume I

GOVERNANCE OF/THROUGH BIG DATA. Volume I

Author: Giorgio Resta

Publisher: Roma TrE-Press

Published: 2023-05-20

Total Pages: 455

ISBN-13:

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These two volumes collect twenty five articles and papers published within the “Governance of/through Data” research project financed by the Italian Ministry of Universities. The research project, which was promoted by Roma Tre University, as project lead, and saw the participation of professors and reseachers from Bocconi University in Milan; LUMSA University in Rome; Salento University in Lecce and Turin Polytechnic, cover multiple issues which are here presented in five sections: Algorithms and artificial intelligence; Antitrust, artificial intelligence and data; Big Data; Data governance; Data protection and privacy. DOI: 10.13134/979-12-5977-173-5