A Review: Big Data Technologies with Hadoop Distributed Filesystem and Implementing M/R

Asaad, Renas Rajab; Ahmad, Hawar B.; Ali, Rasan Ismael

doi:10.25007/ajnu.v9n1a530

Cited by 15 publications

(13 citation statements)

References 4 publications

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“…The Central Bank uses this tool to control and monitor the activity of commercial banks, through a change in the margin of guarantee ratio (reducing circulating liquidity), in addition to using it to limit the import of unnecessary consumer or luxury goods, by directing commercial banks not to provide credit facilities to traders, Only after the availability of a guarantee of no less than 50% of the value of opening the credit. [18]…”

Section: B Change Margin Of Guaranteementioning

confidence: 99%

Effects of Cryptocurrencies on Global Economics: A Review Study

Masiha

2022

QAJ

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The features of a new global economy appear stronger and faster than the changes recorded by the economy throughout history, and the “Covid-19” pandemic has accelerated these transformations, achieving on the ground a global experience to deal with digital payment via credit cards and the use of online payment applications, and it marks the beginning of the end of the era of paper currencies. And the trend towards investing in crypto and digital currencies on the part of investors, in conjunction with the competition of countries around the world to win the issuance of the first digital currency issued by central banks. There are many questions about replacing the digital currency with gold or the dollar in a rapid transformation that changes the trends of the global economy, and the number of cryptocurrencies around the world has reached about 4337 currencies with a market value of $ 1.003 trillion, “Bitcoin” holds the largest share by 66% with a market value of $ 664 billion. Despite many official warnings against investing in these unregulated currencies, fintech startups are witnessing a surge in demand from consumers who are rushing to invest in cryptocurrencies amid great interest and momentum in Bitcoin. Like Revolut, eToro and Luno, cryptocurrency demand surged on their platforms amid the resurgence of Bitcoin prices.

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Section: B Change Margin Of Guaranteementioning

confidence: 99%

Effects of Cryptocurrencies on Global Economics: A Review Study

Masiha

2022

QAJ

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“…the rules and policies for how to combine anonymized data and used it together are very important and necessary keys to should know. [17] 3.3. Data Masking the data masking is not used suitable, it will be easy to reveal the actual individual by big data analysis whose data has been masked.…”

Section: Anonymizationmentioning

confidence: 99%

A Review on Big Data Analytics between Security and Privacy Issue

Asaad

Abdulnabi

2022

ACAD J NAWROZ UNIV

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Because of technology, a large number of portable devices, and the great use of networks and the need for them in education, industry, and politics. This widespread has led to the emergence of a huge amount of data, and securing this data has become a very important matter. Big data refers to a very large number of data collected from different sources, this huge amount of data gives us deep insight and the benefit of this is to improve the decision-making process and thus lead to better customer service. Securing this huge amount of data (big data) is very difficult. Because of the large number of data and the continuous flow of this data that's come from different sources. Big data is a term that refers to a large, diverse, and complex amount of data. Big data analytics is a sophisticated and advanced technology used to analyze large, different, and diverse data in order to understand this type of data. However, there are many issues when using and analyzing big data, including the problem of security and privacy. This paper focuses on security and privacy problems and focuses on the biggest privacy issue Big data. The aim of this paper is to study the aspects of security and privacy and to make a comparison of the most important data security methods and the biggest privacy issues.

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“…After the mid-term examination, we teach big data-related frameworks and skills for three weeks (the ninth to eleventh weeks). The big data-related topics for the course are NoSQL [17], [18], NewSQL [19], [20], Apache Hadoop MapReduce [21], [22], Apache Spark [23], [24], and Apache Storm [25], [26].…”

Section: B Details Of Course Designmentioning

confidence: 99%

Developing Big Data Analytics Course for Non-ICT Major University Students

Lim¹,

Moon²

2021

International Journal on Advanced Science, Engineering and Information Technology

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In the fourth industrial revolution's education era, there is no boundary between majors or subjects, and it is common for university students to enrol in information and communication technology (ICT)-related courses as convergence education blends different disciplines. Today's job market is getting more competitive and requiring higher skills in ICT and computational thinking. Since non-ICT major students rarely have programming experiences and knowledge in regular classes, teaching a big data analytics course for non-ICT major university students is not easy. Thus, it is vital to develop a curriculum that comprises easy-to-follow and easy-to-understand modules. In this paper, we develop a big data analytics course for non-ICT major university students. The proposed big data analytics course for non-ICT major students comprises two parts: (1) basic programming skill modules with step-by-step guidelines and (2) extension to big data analytics modules with laboratory exercises, with the five principal programming modules based on the Python programming language. First, our investigation discusses the suggestions and limitations of the big data analytics course for non-ICT major university students. Then, we recommend programming languages, integrated development environments (IDEs), and useful tools that help learners perform programming exercises and milestone projects. The learning objectives and course design models are carefully selected based on Bloom's taxonomy with six thinking levels and five.

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A Review: Big Data Technologies with Hadoop Distributed Filesystem and Implementing M/R

Cited by 15 publications

References 4 publications

Effects of Cryptocurrencies on Global Economics: A Review Study

Effects of Cryptocurrencies on Global Economics: A Review Study

A Review on Big Data Analytics between Security and Privacy Issue

Developing Big Data Analytics Course for Non-ICT Major University Students

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