| Title |
A survey on platforms for big data analytics
|
|---|---|
| Published in |
Journal of Big Data, October 2014
|
| DOI | 10.1186/s40537-014-0008-6 |
| Pubmed ID | |
| Authors |
Dilpreet Singh, Chandan K Reddy |
| Abstract |
The primary purpose of this paper is to provide an in-depth analysis of different platforms available for performing big data analytics. This paper surveys different hardware platforms available for big data analytics and assesses the advantages and drawbacks of each of these platforms based on various metrics such as scalability, data I/O rate, fault tolerance, real-time processing, data size supported and iterative task support. In addition to the hardware, a detailed description of the software frameworks used within each of these platforms is also discussed along with their strengths and drawbacks. Some of the critical characteristics described here can potentially aid the readers in making an informed decision about the right choice of platforms depending on their computational needs. Using a star ratings table, a rigorous qualitative comparison between different platforms is also discussed for each of the six characteristics that are critical for the algorithms of big data analytics. In order to provide more insights into the effectiveness of each of the platform in the context of big data analytics, specific implementation level details of the widely used k-means clustering algorithm on various platforms are also described in the form pseudocode. |
X Demographics
The data shown below were collected from the profiles of 37 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 24% |
| India | 3 | 8% |
| Canada | 2 | 5% |
| France | 2 | 5% |
| Netherlands | 2 | 5% |
| United Kingdom | 2 | 5% |
| Spain | 1 | 3% |
| Brazil | 1 | 3% |
| Chile | 1 | 3% |
| Other | 6 | 16% |
| Unknown | 8 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 29 | 78% |
| Scientists | 7 | 19% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 834 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | <1% |
| Germany | 3 | <1% |
| India | 2 | <1% |
| Brazil | 2 | <1% |
| Australia | 1 | <1% |
| Italy | 1 | <1% |
| Switzerland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Malaysia | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 816 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 177 | 21% |
| Student > Ph. D. Student | 171 | 21% |
| Student > Bachelor | 71 | 9% |
| Researcher | 69 | 8% |
| Student > Doctoral Student | 39 | 5% |
| Other | 122 | 15% |
| Unknown | 185 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 394 | 47% |
| Engineering | 97 | 12% |
| Business, Management and Accounting | 58 | 7% |
| Social Sciences | 21 | 3% |
| Economics, Econometrics and Finance | 10 | 1% |
| Other | 55 | 7% |
| Unknown | 199 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 February 2019.
All research outputs
#1,335,584
of 23,340,595 outputs
Outputs from Journal of Big Data
#31
of 353 outputs
Outputs of similar age
#15,823
of 256,593 outputs
Outputs of similar age from Journal of Big Data
#1
of 1 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 353 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 256,593 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them