Big data analytics

Rajaraman, V.

doi:10.1007/s12045-016-0376-7

Cited by 87 publications

(64 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These challenges have not yet been adequately addressed [25][26][27][28]. The number of studies [29,30] that have reported challenges of Big Data, do not consider associated challenges related to techniques for data analysis and those related to SMA and BDA. There are limited studies that focus on SMA for government and e-participation.…”

Section: Review Findings: Data Lifecycle and Sma Challengesmentioning

confidence: 99%

See 1 more Smart Citation

A Conceptual Model of the Challenges of Social Media Big Data for Citizen e-Participation: A Systematic Review

Yakobi¹,

Scholtz²,

Berg³

2020

Lecture Notes in Computer Science

View full text Add to dashboard Cite

The emergence of Citizen Relationship Management (CzRM) for government plays a central role in developing citizen relationships and e-participation. As such, the South African government has shown its commitment towards citizenry and the provision of effective service delivery. Social Media Analytics (SMA) has emerged as a potential new solution to support decision-making for service delivery in CzRM. It is believed that the demand for SMA adoption will increasingly rise. However, the reality of social media Big Data comes with the challenges of analysing it in a way that brings Big Value. The purpose of this paper is to identify the challenges of social media Big Data Analytics (BDA) and to incorporate these in a conceptual model that can be used by governments to support the e-participation of citizens. The model was developed through a systematic literature review (SLR). The findings revealed that data challenges relate to designing an optimal architecture for analysing data that caters for both historic data and real-time data at the same time.

show abstract

Section: Review Findings: Data Lifecycle and Sma Challengesmentioning

confidence: 99%

“…Relate to the seven characteristics of the data itself (e.g. volume, velocity, variety, variability, veracity, visualisation and value) [30]; called the 7 'V's of Big Data. These characteristics make the data an unfit candidate to currently employed and tested database architectures [31].…”

Section: Data Challengesmentioning

confidence: 99%

A Conceptual Model of the Challenges of Social Media Big Data for Citizen e-Participation: A Systematic Review

Yakobi¹,

Scholtz²,

Berg³

2020

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…Volume: Numerous devices and applications generate huge volumes of digital data continuously. McAfee et al [22] reported an estimated 2.5 exabytes of data to be generated daily in the year 2012. This data volume doubles approximately every 40 months.…”

Section: Big Data Definitionmentioning

confidence: 99%

A novel approach for big data processing using message passing interface based on memory mapping

2019

View full text Add to dashboard Cite

The analysis and processing of big data are one of the most important challenges that researchers are working on to find the best approaches to handle it with high performance, low cost and high accuracy. In this paper, a novel approach for big data processing and management was proposed that differed from the existing ones; the proposed method employs not only the memory space to reads and handle big data, it also uses space of memory-mapped extended from memory storage. From a methodological viewpoint, the novelty of this paper is the segmentation stage of big data using memory mapping and broadcasting all segments to a number of processors using a parallel message passing interface. From an application viewpoint, the paper presents a high-performance approach based on a homogenous network which works parallelly to encrypt-decrypt big data using AES algorithm. This approach can be done on Windows Operating System using .NET libraries.

show abstract

“…Application areas for this class of technology include the use of self-service technologies (SSTs) such as telephone banking, automated hotel checkout, and online investment trading, where customers produce services for themselves without assistance from firm employees. With the volume and speed of data generated by computers and the Internet growing exponentially each year, the field of big data has grown, and attracts much attention in academia [39]. The field involves the use of data streams for inferential decisionmaking.…”

Section: Digital Technologies For Product and Service Offeringsmentioning

confidence: 99%

A Decision-Making Framework for Implementing Digitalisation in the South African Tooling Industry

Dewa

Matope

2018

SAJIE

View full text Add to dashboard Cite

In this paper, a decision-making framework for implementing the concept of digitalisation within the South African tool, die, and mould-making (TDM) industry context is developed and employed. The purpose of this framework is to answer the following question: "Which digital technologies currently available on the market can be employed to improve the efficiency of shop-floor operations in the South African TDM industry?" An exhaustive literature study of existing digital technologies is conducted. Thereafter, TDM processes requiring digitalisation are identified through knowledge engineering. Based on the system requirements analysis, digital technologies relevant to the South African TDM context are then proposed. OPSOMMINGŉ Besluitnemingsraamwerk vir implementering van die konsep van digitalisering binne die Suid-Afrikaanse matrysmaak industrie is ontwikkel en toegepas. Die doel van hierdie raamwerk is om die volgende vraag te beantwoord: "Watter digitale tegnologieë, wat nou beskikbaar is, kan gebruik word om die rendement van werkswinkel bedrywighede in die Suid-Afrikaanse matrysmaak industrie te verbeter?" ŉ Omvattende literatuurstudie van bestaande digitale tegnologieë is van stapel gestuur. Daarna is matrysmaak prosesse wat kan baat by digitalisering identifiseer. Op grond van die sisteemvereistes analise is digitale tegnologieë relevant tot die Suid-Afrikaanse matrysmaak konteks dan voorgestel. INTRODUCTIONThe production of tools, dies, and moulds (TDM) is a complex activity that requires a lot of expert knowledge and sound judgement. Due to the demand for customised and unique products, the process of tool-making requires great innovation, making it highly dependent on the craftsmanship of the toolmaker. The success of a project therefore depends on the experience and skill levels of the workers doing the job. This makes tool-making a skills-or people-driven exercise. The skills required in the TDM value chain include tool designing, project managing, toolmaking, cost estimating, and many more specialised roles. Schuh, Pitsch, Komorek, Schippers and Salmen [1] described the TDM industry as a knowledge-intensive and data-driven sector. During the fabrication of tools, dies, and moulds, many transactions that involve information exchange occur between toolmakers, their downstream customers, and their upstream suppliers, as illustrated in Figure 1. -Component information Design drawings and specifications Order Documents Design and production changes Order progress Toolmakers Raw material Suppliers OEM and Plastics Manufacturers Figure 1: Transactions during order processing in TDM operations [2]Due to the wide range of products it produces, the TDM industry is characterised by a huge variability of requirements and specifications for each final product. Figure 1 represents the nature of communication involved in processing orders in the TDM sector. A lot of production data is exchanged between toolmakers, their raw material suppliers, and their clients (usually overall equipment manufacturers [OEMs]). To a...

show abstract

Big data analytics

Cited by 87 publications

References 3 publications

A Conceptual Model of the Challenges of Social Media Big Data for Citizen e-Participation: A Systematic Review

A Conceptual Model of the Challenges of Social Media Big Data for Citizen e-Participation: A Systematic Review

A novel approach for big data processing using message passing interface based on memory mapping

A Decision-Making Framework for Implementing Digitalisation in the South African Tooling Industry

Contact Info

Product

Resources

About