SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
The evolution of data storage architectures: examining the secure value of the Data Lakehouse
16 references·0 citing·40 second hop
The evolution of data storage architectures: examining the secure value of the Data Lakehouse (2024)The evolution of data storage architectur…An empirical study on data warehouse systems effectiveness: the case of Jordanian banks in the business intelligence era (2022)An empirical study on data wa…On data lake architectures and metadata management (2020)On data lake architectures an…Implementing Big Data Lake for Heterogeneous Data Sources (2019)Implementing Big Data Lake fo…Data Lakes: Trends and Perspectives (2019)Data Lakes: Trends and Perspe…Data lake management (2019)Data lake managementData lake: a new ideology in big data era (2018)Data lake: a new ideology in …The next information architecture evolution (2016)The next information architec…Managing data lakes in big data era: What's a data lake and why has it became popular in data management ecosystem (2015)Managing data lakes in big da…Design Science Methodology for Information Systems and Software Engineering (2014)Design Science Methodology fo…Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Data-intensive applications, …Learning to use new technologies by older adults: Perceived difficulties, experimentation behaviour and usability (2013)Learning to use new technolog…Sample Size Policy for Qualitative Studies Using In-Depth Interviews (2012)Sample Size Policy for Qualit…Sample Size and Saturation in PhD Studies Using Qualitative Interviews (2009)Sample Size and Saturation in…A Design Science Research Methodology for Information Systems Research (2007)A Design Science Research Met…Fundamentals of Data Warehouses (2003)Fundamentals of Data Warehous…The benefits of data warehousing: why some organizations realize exceptional payoffs (2002)The benefits of data warehous…The Discovery of Grounded Theory; Strategies for Qualitative Research (1968)The Discovery of Grounded Theory: Strategies for Qualitative Research. (1968)Basics of qualitative research : techniques and procedures for developing grounded theory (1998)Descriptions of Sampling Practices Within Five Approaches to Qualitative Research in Education and the Health Sciences (2014)Can sample size in qualitative research be determined a priori? (2018)Clicking the boredom away – Exploring impulse fashion buying behavior online (2018)The theory of planned behavior (1991)User Acceptance of Information Technology: Toward A Unified View1 (2003)“Who over 65 is online?” Older adults’ dispositions toward information communication technology (2014)Older adults’ experiences and perceptions of digital technology: (Dis)empowerment, wellbeing, and inclusion (2015)The Benefits of Social Technology Use Among Older Adults Are Mediated by Reduced Loneliness (2016)Diffusion of Innovations 1 (2019)How Many Interviews Are Enough? (2005)Older Adults' Reasons for Using Technology while Aging in Place (2015)Sample size for qualitative research (2016)Big data: The next frontier for innovation, competition, and productivity (2011)Critical analysis of Big Data challenges and analytical methods (2016)A survey on deep learning for big data (2017)Machine Learning With Big Data: Challenges and Approaches (2017)Chief executives define their own data needs. (1979)Design science in information systems research (2004)Design Science Research in Information Systems (2010)THE PSYCHOLOGY OF PERSONAL CONSTRUCTS (2010)Action Design Research1 (2011)Positioning and Presenting Design Science Research for Maximum Impact1 (2013)Big Data Integration (2013)DataHub: Collaborative Data Science & Dataset Version Management at Scale (2014)Data collection and quality challenges for deep learning (2020)Data Preparation (2020)Finding Related Tables in Data Lakes for Interactive Data Science (2020)Big Data and Its Applications in Smart Real Estate and the Disaster Management Life Cycle: A Systematic Analysis (2020)Data Cleaning: Problems and Current Approaches. (2000)Conceptual modeling for ETL processes (2002)Methodologies for data quality assessment and improvement (2009)DaLiF: a data lifecycle framework for data-driven governments (2021)An Overview of Data Warehouse and Data Lake in Modern Enterprise Data Management (2022)Data Lakes: A Survey of Concepts and Architectures (2024)The curse of dimensionality of decision-making units: A simple approach to increase the discriminatory power of data envelopment analysis (2019)Supporting better practice benchmarking: A DEA-ANN approach to bank branch performance assessment (2020)BPMN in healthcare: Challenges and best practices (2022)
this work references cited by second hop

References

  • 2007A Design Science Research Methodology for Information Systems Research7,798 cited
  • 2014Data-intensive applications, challenges, techniques and technologies: A survey on Big Data3,046 cited
  • 2009Sample Size and Saturation in PhD Studies Using Qualitative Interviews2,772 cited
  • 2012Sample Size Policy for Qualitative Studies Using In-Depth Interviews1,394 cited
  • 2014Design Science Methodology for Information Systems and Software Engineering1,219 cited
  • 2013Learning to use new technologies by older adults: Perceived difficulties, experimentation behaviour and usability596 cited
  • 2003Fundamentals of Data Warehouses450 cited
  • 2019Data lake management253 cited
  • 2020On data lake architectures and metadata management242 cited
  • 2015Managing data lakes in big data era: What's a data lake and why has it became popular in data management ecosystem199 cited
  • 2022An empirical study on data warehouse systems effectiveness: the case of Jordanian banks in the business intelligence era139 cited
  • 2018Data lake: a new ideology in big data era136 cited
  • 2002The benefits of data warehousing: why some organizations realize exceptional payoffs134 cited
  • 2019Data Lakes: Trends and Perspectives108 cited
  • 2016

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

The next information architecture evolution
79 cited
  • 2019Implementing Big Data Lake for Heterogeneous Data Sources74 cited
  • Cited by

    No citing works inside the corpus for this window.