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    Using OpenRefine. With this book on OpenRefine, managing and cleaning your large datasets suddenly got a lot easier! With a cookbook approach and free datasheets included, you'll quickly and painlessly improve your data managing capabilities Ruben Verborgh, Max De Wilde

    (ebook) (audiobook) (audiobook) Książka w języku 1
    Using OpenRefine. With this book on OpenRefine, managing and cleaning your large datasets suddenly got a lot easier! With a cookbook approach and free datasheets included, you'll quickly and painlessly improve your data managing capabilities Ruben Verborgh, Max De Wilde - okladka książki

    Using OpenRefine. With this book on OpenRefine, managing and cleaning your large datasets suddenly got a lot easier! With a cookbook approach and free datasheets included, you'll quickly and painlessly improve your data managing capabilities Ruben Verborgh, Max De Wilde - okladka książki

    Using OpenRefine. With this book on OpenRefine, managing and cleaning your large datasets suddenly got a lot easier! With a cookbook approach and free datasheets included, you'll quickly and painlessly improve your data managing capabilities Ruben Verborgh, Max De Wilde - audiobook MP3

    Using OpenRefine. With this book on OpenRefine, managing and cleaning your large datasets suddenly got a lot easier! With a cookbook approach and free datasheets included, you'll quickly and painlessly improve your data managing capabilities Ruben Verborgh, Max De Wilde - audiobook CD

    Autorzy:
    Ruben Verborgh, Max De Wilde
    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    114
    Dostępne formaty:
         PDF
         ePub
         Mobi
    Zostało Ci na świąteczne zamówienie opcje wysyłki »
    Data today is like gold - but how can you manage your most valuable assets? Managing large datasets used to be a task for specialists, but the game has changed - data analysis is an open playing field. Messy data is now in your hands! With OpenRefine the task is a little easier, as it provides you with the necessary tools for cleaning and presenting even the most complex data. Once it's clean, that's when you can start finding value.

    Using OpenRefine takes you on a practical and actionable through this popular data transformation tool. Packed with cookbook style recipes that will help you properly get to grips with data, this book is an accessible tutorial for anyone that wants to maximize the value of their data.

    This book will teach you all the necessary skills to handle any large dataset and to turn it into high-quality data for the Web. After you learn how to analyze data and spot issues, we'll see how we can solve them to obtain a clean dataset. Messy and inconsistent data is recovered through advanced techniques such as automated clustering. We'll then show extract links from keyword and full-text fields using reconciliation and named-entity extraction.

    Using OpenRefine is more than a manual: it's a guide stuffed with tips and tricks to get the best out of your data.

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    O autorach książki

    Ruben Verborgh is a PhD researcher in Semantic Hypermedia. He is fascinated by the Web's immense possibilities and tries to contribute ideas that will maybe someday slightly influence the way the Web changes all of us. His degree in Computer Science Engineering convinced him more than ever that communication is the most crucial thing for IT-based solutions. This is why he really enjoys explaining things to those eager to learn. In 2011, he launched the Free Your Metadata project together with Seth van Hooland and Max De Wilde, which aims to evangelize the importance of bringing your data on the Web. This book is one of the assets in this continuing quest. He currently works at Multimedia Lab, a research group of iMinds, Ghent University, Belgium, in the domains of Semantic Web, Web APIs, and Adaptive Hypermedia. Together with Seth van Hooland, he's writing Linked Data for Libraries, Archives, and Museums, Facet Publishing, a practical guide for metadata practitioners.
    Max De Wilde is a PhD researcher in Natural Language Processing and a teaching assistant at the Universit libre de Bruxelles (ULB), department of Information and Communication Sciences. He holds a Master's degree in Linguistics from the ULB and an Advanced Master's in Computational Linguistics from the University of Antwerp. Currently, he is preparing a doctoral thesis on the impact of language-independent information extraction on document retrieval. At the same time, he works as a full-time assistant and supervises practical classes for Master's level students in a number of topics, including database quality, document management, and architecture of information systems.

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