Moving Hadoop to the cloud for big data analytics
- Hadoop is a Java-based open source programming framework, which supports the processing and storage of large volumes of data sets in a distributed computing environment. On the other hand, an overwhelming majority of organizations are moving their big data processing and storing to the cloud to take advantage of cost reduction – the cloud eliminates the need for investing heavily in infrastructures, which may or may not be used by organizations. This paper shows how organizations can alleviate some of the obstacles faced when trying to make Hadoop run in the cloud.
| Author: | Irina Astrova, Arne KoschelGND, Felix HeineORCiDGND, Ahto Kalja |
|---|---|
| URN: | urn:nbn:de:bsz:960-opus4-15559 |
| DOI: | https://doi.org/10.25968/opus-1555 |
| DOI original: | https://doi.org/10.3233/978-1-61499-941-6-195 |
| Parent Title (English): | Databases and Information Systems X - Selected Papers from the Thirteenth International Baltic Conference, DB&IS 2018, Trakai, Lithuania, July 1-4, 2018 |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Completion: | 2019 |
| Publishing Institution: | Hochschule Hannover |
| Release Date: | 2020/01/09 |
| Tag: | Big Data Analytics; Education; MapReduce; OpenStack; PageRank; Pregel; Shortest Path; Word Counting |
| GND Keyword: | Hadoop; Big Data; Cloud Computing |
| First Page: | 195 |
| Last Page: | 209 |
| Link to catalogue: | 1687331618 |
| Institutes: | Fakultät IV - Wirtschaft und Informatik |
| DDC classes: | 004 Informatik |
| Licence (German): |  Creative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International |
