Showing 1 - 20 results of 19,347 for search 'Visual analytics--Data processing', query time: 1.08s Refine Results
  1. 1
    Conference

    Source: 2022 13th International Conference on Information and Communication Technology Convergence (ICTC) Information and Communication Technology Convergence (ICTC), 2022 13th International Conference on. :2373-2376 Oct, 2022

    Relation: 2022 13th International Conference on Information and Communication Technology Convergence (ICTC)

  2. 2
    Conference

    Source: 2022 Annual Modeling and Simulation Conference (ANNSIM) Modeling and Simulation Conference (ANNSIM), 2022 Annual. :851-862 Jul, 2022

    Relation: 2022 Annual Modeling and Simulation Conference (ANNSIM)

  3. 3
    Conference

    Source: 2022 International Conference on Information Technology Systems and Innovation (ICITSI) Information Technology Systems and Innovation (ICITSI), 2022 International Conference on. :81-85 Nov, 2022

    Relation: 2022 International Conference on Information Technology Systems and Innovation (ICITSI)

  4. 4
    Conference

    Source: 2019 23rd International Conference Information Visualisation (IV) IV Visualisation (IV), 2019 23rd International Conference Information. :255-260 Jul, 2019

    Relation: 2019 23rd International Conference Information Visualisation (IV)

  5. 5
    Conference

    Source: Proceedings. Visualization '97 (Cat. No. 97CB36155) Visualization '97 Visualization '97., Proceedings. :437-441 1997

    Relation: Proceedings. Visualization '97 (Cat. No. 97CB36155)

  6. 6
    Conference

    Source: 2026 International Conference on Innovations in Emerging Technologies for Sustainable Development (ICIETSD) Innovations in Emerging Technologies for Sustainable Development (ICIETSD), 2026 International Conference on. :1-5 Apr, 2026

    Relation: 2026 International Conference on Innovations in Emerging Technologies for Sustainable Development (ICIETSD)

  7. 7
    Academic Journal

    Source: IEEE Transactions on Visualization and Computer Graphics IEEE Trans. Visual. Comput. Graphics Visualization and Computer Graphics, IEEE Transactions on. 32(5):4482-4491 May, 2026

    Linked Full Text
  8. 8
    Academic Journal

    Source: IEEE Transactions on Computers IEEE Trans. Comput. Computers, IEEE Transactions on. 75(7):2366-2381 Jul, 2026

  9. 9
    Conference

    Source: 2024 5th International Conference on Information Science and Education (ICISE-IE) Information Science and Education (ICISE-IE), 2024 5th International Conference on. :500-507 Dec, 2024

    Relation: 2024 5th International Conference on Information Science and Education (ICISE-IE)

  10. 10
    Conference

    Source: 2022 IEEE Visualization in Data Science (VDS) VDS Visualization in Data Science (VDS), 2022 IEEE. :1-5 Oct, 2022

    Relation: 2022 IEEE Visualization in Data Science (VDS)

  11. 11
    Conference

    Source: 2024 47th MIPRO ICT and Electronics Convention (MIPRO) MIPRO ICT and Electronics Convention (MIPRO), 2024 47th. :1222-1227 May, 2024

    Relation: 2024 47th MIPRO ICT and Electronics Convention (MIPRO)

  12. 12
    Electronic Resource

    Additional Titles: 'Understand data in a simple way using a data lake. Key Features ● In-depth practical demonstration of Hadoop/Yarn concepts with numerous examples. ● Includes graphical illustrations and visual explanations for Hadoop commands and parameters. ● Includes details of dimensional modeling and Data Vault modeling. ● Includes details of how to create and define a structure to a data lake. Description The book 'Data Processing and Modeling with Hadoop' explains how a distributed system works and its benefits in the big data era in a straightforward and clear manner. After reading the book, you will be able to plan and organize projects involving a massive amount of data. The book describes the standards and technologies that aid in data management and compares them to other technology business standards. The reader receives practical guidance on how to segregate and separate data into zones, as well as how to develop a model that can aid in data evolution. It discusses security and the measures that are utilized to reduce the impact of security. Self-service analytics, Data Lake, Data Vault 2.0, and Data Mesh are discussed in the book. After reading this book, the reader will have a thorough understanding of how to structure a data lake, as well as the ability to plan, organize, and carry out the implementation of a data-driven business with full governance and security. What you will learn ● Learn the basics of components to the Hadoop Ecosystem. ● Understand the structure, files, and zones of a Data Lake. ● Learn to implement the security part of the Hadoop Ecosystem. ● Learn to work with the Data Vault 2.0 modeling. ● Learn to develop a strategy to define good governance. ● Learn new tools to work with Data and Big Data Who this book is for This book caters to big data developers, technical specialists, consultants, and students w

  13. 13
    Conference

    Source: 2022 Winter Simulation Conference (WSC) Winter Simulation Conference (WSC), 2022. :665-676 Dec, 2022

    Relation: 2022 Winter Simulation Conference (WSC)

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  18. 18
    Conference

    Source: 2017 27th EAEEIE Annual Conference (EAEEIE) EAEEIE Annual Conference (EAEEIE), 2017 27th. :1-5 Jun, 2017

    Relation: 2017 27th EAEEIE Annual Conference (EAEEIE)

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  20. 20
    Conference

    Source: 2025 International Conference on Power, Instrumentation, Control, and Computing (PICC) Power, Instrumentation, Control, and Computing (PICC), 2025 International Conference on. :1-8 Oct, 2025

    Relation: 2025 International Conference on Power, Instrumentation, Control, and Computing (PICC)