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  • 1
    Online Resource
    Online Resource
    Dane grafowe w praktyce : jak technologie grafowe ułatwiają rozwiązywanie złożonych problemów (2021)
    Gliwice : Helion
    Details
    ISBN: 9788328374683 , 8328374684
    Language: Polish
    Pages: 1 online resource (344 pages) , illustrations
    Edition: [First edition].
    Uniform Title: Practitioner's guide to graph data
    DDC: 005.75
    Keywords: Graph databases
    Abstract: Komputer do pracy potrzebuje liczb i danych. Człowiek chętniej wysnuwa wnioski i wyodrębnia kontekst na podstawie relacji. Te dwa sposoby myślenia są tak odmienne, że komputery do niedawna z trudem wykonywały zadania związane z operowaniem na relacjach. Obecnie może się to zmienić dzięki grafom. Technologie grafowe łączą ludzkie postrzeganie świata i liniową pamięć komputerów. Ich wdrożenie na szerszą skalę będzie stanowić przęłom i pozwoli osiągnąć nieznany dziś poziom. Ale najpierw trzeba nauczyć się stosować myślenie grafowe w rozwiązywaniu problemów technicznych. Dzięki tej książce opanujesz podstawy myślenia grafowego. Zapoznasz się z elementarnymi koncepcjami grafowymi: teorią grafów, schematami baz danych, systemami rozproszonymi, a także analizą danych. Dowiesz się również, jak wyglądają typowe wzorce wykorzystania danych grafowych w aplikacjach produkcyjnych. Poznasz sposób, w jaki można te wzorce stosować w praktyce. Pokazano tu, jak używać technik programowania funkcyjnego oraz systemów rozproszonych do tworzenia zapytań i analizowania danych grafowych. Opisano też podstawowe podejścia do proceduralnego przechodzenia przez dane grafowe i ich wykorzystanie za pomocą narzędzi grafowych.
    Note: Includes bibliographical references and index
    URL: lizenzpflichtig
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  • 2
    Online Resource
    Online Resource
    Beginning Access 2007 VBA (2007)
    Indianapolis, IN : Wiley Pub.
    Details
    Language: English
    Pages: 1 online resource (xxv, 547 p.) , ill.
    Series Statement: Wrox beginning guides
    Parallel Title: Erscheint auch als
    Keywords: Microsoft Access ; Microsoft Visual Basic for applications ; Database management ; Electronic books ; lcgft ; Electronic books ; local
    Abstract: This book provides you with the tools and techniques you'll need in order to build more sophisticated solutions. After walking through the features of Access 2007 VBA, you'll learn all about object-oriented programming and ADO. You'll then progress to advanced VBA concepts such as working with external DLLs and using automation to control external programs. Plus, two comprehensive case studies presents you with the hands-on experience in building real-world solutions using the concepts covered in the book.
    Note: "Programmer to programmer"--Cover. - Includes index. - Description based on print version record
    URL: https://learning.oreilly.com/library/view/-/9780470046845/?ar
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    Beginning Access 2003 VBA (2004)
    Indianapolis : Wiley Pub.
    Details
    ISBN: 0764579029 , 9780764579028 , 9780764556593
    Language: English
    Pages: 1 online resource (xxii, 522 pages) , illustrations.
    Series Statement: Programmer to programmer
    Parallel Title: Erscheint auch als
    Keywords: Microsoft Access ; Microsoft Visual Basic for applications ; Database management ; Microsoft Access ; Microsoft Visual Basic for applications ; Microsoft Access ; Microsoft Visual Basic for applications ; COMPUTERS ; Programming Languages ; SQL ; Database management ; Electronic books ; Electronic book
    Abstract: What is this book about? Written by an Access programmer with more than 10 years of VBA experience, this is the perfect guide for Access users who are ready to take their databases to the next level, or for programmers who are new to Access or VBA.
    Note: Includes bibliographical references and index. - Print version record
    URL: lizenzpflichtig
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  • 4
    Online Resource
    Online Resource
    Taking graph applications to production (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 41 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Over the past decade, Denise Gosnell (DataStax) has helped build some of the largest production applications of graph databases around the world. From those experiences, she’s collected a set of common areas in which teams frequently misstep when getting started with graph technology. It also happens that those themes parallel the experience of playing one of her favorite games, SimCity 2000. Denise walks you through a few of these topics. Know the rules. The introduction of graph data into your application introduces a new paradigm of data modeling: relationship-first design instead of entity-first design. The transition to relationship-first design principles introduces a new set of rules to consider for understanding your application’s performance, just like learning the rules of building a successful metropolis in SimCity . In this section, you’ll dive into the computational overhead introduced into your system from the branching factor and selectivity of your graph traversals. Things can quickly become catastrophic. Relationship-first data modeling can create a sleeping time bomb in your graph data: namely, supernodes. Just like in SimCity , high volumes of progress without proper planning will eventually introduce a catastrophe. To plan for this, you will need to track, mitigate, and eliminate the potential for supernodes within your applications. In this section, Denise introduces supernodes and presents tangible plans for avoiding the disasters which they can create. You’re going to make mistakes. Just like the learning process for understanding the tools and rules for building a successful city, you’ll inevitably make some mistakes when starting down the path of integrating graph technology into your stack. These common mistakes often start out as red herrings that are misinterpreted as graph problems. In this section, you’ll explore three use cases that are frequently misinterpreted as graph problems and learn techniques for avoiding these traps. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
    URL: lizenzpflichtig
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  • 5
    Online Resource
    Online Resource
    The Practitioner's Guide to Graph Data (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (250 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With Early Release ebooks, you get books in their earliest form—the authors' raw and unedited content as they write—so you can take advantage of these technologies long before the official release of these titles. This book will enable you to apply graph thinking to solve complex problems. If you want to learn how to build architectures for extracting value for your domain’s complex problems, then this book is for you. You’ll learn how to think about your data as a graph, and how to determine if graph technology is right for your application. The book describes techniques for scalable, real-time, and multimodel architectures that solve complex problems, and shows how companies are successfully applying graph thinking in distributed production environments. Authors Denise Koessler Gosnell and Matthias Broecheler also introduce the Graph Schema Language, a set of terminology and visual illustrations to normalize how graph practitioners communicate conceptual graph models, graph schema, and graph database design.
    Note: Online resource; Title from title page (viewed April 25, 2020)
    URL: https://learning.oreilly.com/library/view/-/9781492044062/?ar
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    Online Resource
    Online Resource
    Meet the Expert : Denise Gosnell on Seeing the Unseen with Graph Technology (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Have you ever sensed that there was a correlation within your data that you couldn’t point to but inherently knew was there? We’ve all been there. You have every bit of data at your fingertips, but it tells you nothing new. How could it? A database can’t tell you how the world works. It can tell you only what you’ve told it. Graphs are a different story. A graph understands the interconnectedness of your data. Think of it as the difference between mapping the genome (getting the data to a storable format) and personalizing cancer treatment (understanding the interconnectedness of genes and diseases). See what’s possible when you understand the relationships within data. In this edition of Meet the Expert, Denise Gosnell shows you how to visualize, model, and apply relationships data to solve the most common complex problems. You’ll explore how graphs are used in multiple industries—and how they can help you detail the simplicity discovered within complex systems. The solutions are there; they’ve just been hiding between tables. Graph technology enables you to see them and unlock your next mission-critical problem. O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions.
    Note: Online resource; Title from title screen (viewed September 28, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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