A Research Survey on Large XML Data: Streaming, Selectivity Estimation and Parallelism

2013 ◽  
pp. 167-202 ◽  
Author(s):  
Muath Alrammal ◽  
Gaétan Hains
Keyword(s):  
Data Streaming ◽  
Selectivity Estimation ◽  
Xml Data ◽  
Research Survey

scholarly journals Parallelizing XML data-streaming workflows via MapReduce

2010 ◽  
Vol 76 (6) ◽  
pp. 447-463 ◽  
Author(s):  
Daniel Zinn ◽  
Shawn Bowers ◽  
Sven Köhler ◽  
Bertram Ludäscher
Keyword(s):  
Data Streaming ◽  
Xml Data

Community Engagement in Research Survey--Revised Version

2019 ◽  
Author(s):  
Melody S. Goodman ◽  
Nicole Ackermann ◽  
Deborah J. Bowen ◽  
Vetta Thompson
Keyword(s):  
Community Engagement ◽  
Research Survey

A Review on Big Data Analytics in Business

2018 ◽  
pp. 210-214
Author(s):  
Manbir Sandhu ◽  
Purnima, Anuradha Saini
Keyword(s):  
Big Data ◽  
Big Data Analytics ◽  
Smart Devices ◽  
Data Streaming ◽  
Huge Amount ◽  
Business Units ◽  
Enormous Amount ◽  
Tools And Techniques ◽  
Heath Care ◽  
Data Analytic

Big data is a fast-growing technology that has the scope to mine huge amount of data to be used in various analytic applications. With large amount of data streaming in from a myriad of sources: social media, online transactions and ubiquity of smart devices, Big Data is practically garnering attention across all stakeholders from academics, banking, government, heath care, manufacturing and retail. Big Data refers to an enormous amount of data generated from disparate sources along with data analytic techniques to examine this voluminous data for predictive trends and patterns, to exploit new growth opportunities, to gain insight, to make informed decisions and optimize processes. Data-driven decision making is the essence of business establishments. The explosive growth of data is steering the business units to tap the potential of Big Data to achieve fueling growth and to achieve a cutting edge over their competitors. The overwhelming generation of data brings with it, its share of concerns. This paper discusses the concept of Big Data, its characteristics, the tools and techniques deployed by organizations to harness the power of Big Data and the daunting issues that hinder the adoption of Business Intelligence in Big Data strategies in organizations.

Visual Artists’ Use of Digital Self-Marketing Strategies – A Quantitative Survey on the Present Situation in Germany

2019 ◽  
Vol 3 (2) ◽  
pp. 53-72
Author(s):  
Jessica Hodgkiss ◽  
Sarah Fassio ◽  
Adrianna Rosa
Keyword(s):  
Quantitative Research ◽  
Present Situation ◽  
Marketing Strategies ◽  
Visual Artists ◽  
Further Training ◽  
Quantitative Survey ◽  
Research Survey

Faced with increased competition on the market, visual artists today opt for digital self-marketing strategies to promote their work. In order to determine applicable measures for best results, the au-thors of this paper carried out a quantitative research survey among 158 artists working in Germany. Findings show that a large number of participants act as digital entrepreneurs, and over 50 per cent indicate a need for further training.

DISTANCE EDUCATION IN FURTHER PROFESSIONAL TRAINING IN ENTERPRISES DURING PANDEMIC PERIOD

2020 ◽  
Author(s):  
Marta Matulčíková ◽  
Daniela Breveníková
Keyword(s):  
Distance Education ◽  
Empirical Research ◽  
Management System ◽  
Professional Training ◽  
Developmental Stages ◽  
Content Management ◽  
Partial Result ◽  
Corporate Education ◽  
Research Survey ◽  
Learning Management

Constraints on our personal and professional life imposed by the COVID 19 pandemic have radically influenced our approach to forms of education, including those used in further professional training of employees. This shift means the focus on distance education as a managed educational form, which is suitable for further professional training. The aim of the paper is to present the implementation of distance education in further professional training in enterprises and based on the empirical research propose ways of improving options of education. Distance education is characterised in terms of its principles and developmental stages. Its first generation was correspondence education. The Learning Management System (LMS) and Learning Content Management System (LCMS) are described as the systems applied in further professional training. The research was conducted by means of the questionnaire method, combined with the pre-research survey. Results of empirical research are presented in tables. Separate parts of the paper deal with ICT application in corporate education (correspondence education, Computer-based training (CBT), Web-based training (WBT), Technology Based Training (TBT) and with the utilisation of Learning Management Systems (LMS). Analysis of respondent opinions shows that respondents tend to prefer the face-to-face form of corporate education. The length of the pandemic is going to affect the spread of e-learning in corporate education and its role in education. The learners’ interest may be expected to be shifted to LCM and LCMS utilisation. The paper is a partial result of the research scheme VEGA No. 1/0309/18 “Social networks in human resource management” supported by the Ministry of Education, Science and Research and Sports, Slovakia

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