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On-demand large-scale data analytics platform with INDIGO-DataCloud PaaS
| Content Provider | Semantic Scholar |
|---|---|
| Copyright Year | 2017 |
| Abstract | Big data processing and analytics are presently among the most important trends in the research and industry landscape: the growing availability of data collected from a multitude of sources is a real treasure in many fields (health care, bioinformatics, human and social sciences, high-energy physics, etc.), but it comes with a series of critical challenges as well. Building reliable algorithms that are able to extract precious information from data is a crucial task. Fortunately, researchers can exploit data analysis platforms designed to simplify the development of these algorithms. Apache Spark [1] has rapidly emerged as the platform of common use and the natural successor to Hadoop. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.eventi.garr.it/en/documenti/conferenza-garr-2017/paper-1/168-conf2017-paper-antonacci/file |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
