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    • TVS.005483_TT_Jesus Barrasa, Maya Natarajan, Jim Webber - Building Knowledge Graphs_ A Practitioner’s Guide (6th Early Release)-O_Reilly Media, Inc. (.pdf.jpg
    • Sách/Book

    • Building Knowledge Graphs: A Practitioner’s Guide

      • Authors: Barrasa, Jesus (2023)

    • This practical book shows data scientists and data engineers how to build their own knowledge graphs. Authors Jesus Barrasa and Jim Webber from Neo4j illustrate common patterns for building knowledge graphs that solve many of today's pressing knowledge management problems. You'll quickly discover how these graphs become increasingly useful as you add data and augment them with algorithms and machine learning.
    • TVS.000506_TT_ Andy Petrella - Fundamentals of Data Observability (5th Early Release)-O_Reilly Media, Inc. (2023).pdf.jpg
    • Sách/Book

    • Fundamentals of Data Observability : Implement Trustworthy End-to-End Data Solutions

      • Authors: Petrella, Andy (2023)

    • Quickly detect, troubleshoot, and prevent a wide range of data issues through data observability, a set of best practices that enables data teams to gain greater visibility of data and its usage. If you're a data engineer, data architect, or machine learning engineer who depends on the quality of your data, this book shows you how to focus on the practical aspects of introducing data observability in your everyday work.
    • TVS.005456_TT_(Information Technology, Management and Operations Research Practices) Mohammed El Amine Abdelli, Nadia Mansour, Atilla Akbaba, Enric Se.pdf.jpg
    • Sách/Book

    • Sustainability, big data, and corporate social responsibility : evidence from the tourism industry

      • Authors: Abdelli, Mohammed El Amine (2022)

    • This book aims to provide theoretical and empirical frameworks and highlights the challenges and solutions with using Big Data for Corporate Social Responsibility (CSR) and Sustainability in the field of digital transformation and tourism. Sustainability, Big Data, and Corporate Social Responsibility: Evidence from the Tourism Industry offers a theoretical and empirical framework in the field of digital transformation and applies it to the tourism sector