Data Management in the Cloud: Challenges and Opportunities

<p>This data management report was commissioned by the University of Iowa Libraries with the intention of performing a survey of the campus landscape and identifying gaps in data management services. The first stage of data collection consisted of a survey conducted during summer 2012 to which 784 responses were received. The second phase of data collection consisted of approximately 40 in-depth interviews with individuals from the campus and were completed during summer 2013. Findings are presented as challenges and opportunities within five broad areas of data management: data management planning, data storage, data organization and analysis, data publishing and dissemination and sensitive data and compliance, with additional findings reported in the areas of research culture and funding models.</p>

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RFID Data Management: Challenges and Opportunities

2007 IEEE International Conference on RFID ◽

10.1109/rfid.2007.346166 ◽

2007 ◽

Cited By ~ 87

Author(s):

Roozbeh Derakhshan ◽

Maria Orlowska ◽

Xue Li

Keyword(s):

Data Management ◽

Rfid Data ◽

Challenges And Opportunities ◽

Rfid Data Management

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Comparison Study of Different NoSQL and Cloud Paradigm for Better Data Storage Technology

Handbook of Research on Cloud and Fog Computing Infrastructures for Data Science - Advances in Computer and Electrical Engineering ◽

10.4018/978-1-5225-5972-6.ch015 ◽

2018 ◽

pp. 312-343

Author(s):

Pankaj Lathar ◽

K. G. Srinivasa ◽

Abhishek Kumar ◽

Nabeel Siddiqui

Keyword(s):

Cloud Computing ◽

Data Management ◽

Data Storage ◽

High Performance ◽

Large Scale ◽

Web Based ◽

Storage Technology ◽

Data Store ◽

Challenges And Opportunities ◽

User Data

Advancements in web-based technology and the proliferation of sensors and mobile devices interacting with the internet have resulted in immense data management requirements. These data management activities include storage, processing, demand of high-performance read-write operations of big data. Large-scale and high-concurrency applications like SNS and search engines have appeared to be facing challenges in using the relational database to store and query dynamic user data. NoSQL and cloud computing has emerged as a paradigm that could meet these requirements. The available diversity of existing NoSQL and cloud computing solutions make it difficult to comprehend the domain and choose an appropriate solution for a specific business task. Therefore, this chapter reviews NoSQL and cloud-system-based solutions with the goal of providing a perspective in the field of data storage technology/algorithms, leveraging guidance to researchers and practitioners to select the best-fit data store, and identifying challenges and opportunities of the paradigm.

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Challenges and Opportunities in Big Data Processing

Big Data ◽

10.4018/978-1-4666-9840-6.ch096 ◽

2016 ◽

pp. 2074-2097 ◽

Cited By ~ 1

Author(s):

Jaroslav Pokorny ◽

Bela Stantic

Keyword(s):

Big Data ◽

Data Processing ◽

Data Management ◽

File Systems ◽

Distributed File Systems ◽

Big Data Processing ◽

Data Management Systems ◽

Scalable Systems ◽

Challenges And Opportunities ◽

Special Category

The development and extensive use of highly distributed and scalable systems to process Big Data have been widely considered. New data management architectures, e.g. distributed file systems and NoSQL databases, are used in this context. However, features of Big Data like their complexity and data analytics demands indicate that these concepts solve Big Data problems only partially. A development of so called NewSQL databases is highly relevant and even special category of Big Data Management Systems is considered. In this work we will discuss these trends and evaluate some current approaches to Big Data processing, identify the current challenges, and suggest possible research directions.

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Discovering Authoritative Reference Material

Advances in Library and Information Science - E-Reference Context and Discoverability in Libraries ◽

10.4018/978-1-61350-308-9.ch013 ◽

2011 ◽

pp. 137-147

Author(s):

Lettie Y. Conrad

Keyword(s):

Reference Material ◽

Data Management ◽

Digital Communications ◽

Information Delivery ◽

Website Design ◽

Technological Advancement ◽

Traditional Methods ◽

Challenges And Opportunities

For reference publishing, recent revolutions in digital communications undermine the success of traditional methods of information delivery and retrieval. The need to present online reference material for easy discoverability presents challenges and opportunities for technological advancement – for data management and website design. Equally, reference discoverability demands that we foster a greater understanding of what today’s researchers need, and incorporate that knowledge into modern publishing tactics.

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