Research Trends, Enabling Technologies and Application Areas for Big Data
The availability of large amounts of data in combination with Big Data analytics has transformed many application domains. In this paper, we provide insights into how the area has developed in the last decade. First, we identify seven major application areas and six groups of important enabling tech...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-08-01
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| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/15/8/280 |
| _version_ | 1797432561393205248 |
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| author | Lars Lundberg Håkan Grahn |
| author_facet | Lars Lundberg Håkan Grahn |
| author_sort | Lars Lundberg |
| collection | DOAJ |
| description | The availability of large amounts of data in combination with Big Data analytics has transformed many application domains. In this paper, we provide insights into how the area has developed in the last decade. First, we identify seven major application areas and six groups of important enabling technologies for Big Data applications and systems. Then, using bibliometrics and an extensive literature review of more than 80 papers, we identify the most important research trends in these areas. In addition, our bibliometric analysis also includes trends in different geographical regions. Our results indicate that manufacturing and agriculture or forestry are the two application areas with the fastest growth. Furthermore, our bibliometric study shows that deep learning and edge or fog computing are the enabling technologies increasing the most. We believe that the data presented in this paper provide a good overview of the current research trends in Big Data and that this kind of information is very useful when setting strategic agendas for Big Data research. |
| first_indexed | 2024-03-09T10:03:18Z |
| format | Article |
| id | doaj.art-42122697c4b444eb92c1c7affeb20b4d |
| institution | Directory Open Access Journal |
| issn | 1999-4893 |
| language | English |
| last_indexed | 2024-03-09T10:03:18Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj.art-42122697c4b444eb92c1c7affeb20b4d2023-12-01T23:17:34ZengMDPI AGAlgorithms1999-48932022-08-0115828010.3390/a15080280Research Trends, Enabling Technologies and Application Areas for Big DataLars Lundberg0Håkan Grahn1Department of Computer Science, Blekinge Institute of Technology, 371 79 Karlskrona, SwedenDepartment of Computer Science, Blekinge Institute of Technology, 371 79 Karlskrona, SwedenThe availability of large amounts of data in combination with Big Data analytics has transformed many application domains. In this paper, we provide insights into how the area has developed in the last decade. First, we identify seven major application areas and six groups of important enabling technologies for Big Data applications and systems. Then, using bibliometrics and an extensive literature review of more than 80 papers, we identify the most important research trends in these areas. In addition, our bibliometric analysis also includes trends in different geographical regions. Our results indicate that manufacturing and agriculture or forestry are the two application areas with the fastest growth. Furthermore, our bibliometric study shows that deep learning and edge or fog computing are the enabling technologies increasing the most. We believe that the data presented in this paper provide a good overview of the current research trends in Big Data and that this kind of information is very useful when setting strategic agendas for Big Data research.https://www.mdpi.com/1999-4893/15/8/280surveyBig Datatelecommunicationimage processingsmart citiesmanufacturing |
| spellingShingle | Lars Lundberg Håkan Grahn Research Trends, Enabling Technologies and Application Areas for Big Data Algorithms survey Big Data telecommunication image processing smart cities manufacturing |
| title | Research Trends, Enabling Technologies and Application Areas for Big Data |
| title_full | Research Trends, Enabling Technologies and Application Areas for Big Data |
| title_fullStr | Research Trends, Enabling Technologies and Application Areas for Big Data |
| title_full_unstemmed | Research Trends, Enabling Technologies and Application Areas for Big Data |
| title_short | Research Trends, Enabling Technologies and Application Areas for Big Data |
| title_sort | research trends enabling technologies and application areas for big data |
| topic | survey Big Data telecommunication image processing smart cities manufacturing |
| url | https://www.mdpi.com/1999-4893/15/8/280 |
| work_keys_str_mv | AT larslundberg researchtrendsenablingtechnologiesandapplicationareasforbigdata AT hakangrahn researchtrendsenablingtechnologiesandapplicationareasforbigdata |