1487712
doi
10.5281/zenodo.1487712
oai:zenodo.org:1487712
user-cernopenlab
Develop streaming pipelines and analytics solutions for CERN's IoT Platform
Natacha Quintero
CERN openlab summer student
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
CERN openlab
summer-student programme
<p>There are two very popular concepts that we hear in the world of technology, Big<br>
Data and Internet of Things. Big data is referring to a data which size, complexity and<br>
velocity is really high and is difficult to capture, pre-process and analyze it with<br>
conventional technologies. As a response to this new demands, a set of new<br>
technologies were developed to manage these new data flow problems. The second<br>
concept used is Internet of things,the network of physical devices, vehicles, and other<br>
items embedded with electronics, software, sensors and connectivity which enables<br>
these things to connect and exchange data. </p>
<p>The purpose of the project is to create data pipelines using Big Data technologies for<br>
Iot systems and asses how each one this technologies works and compare them,<br>
and made decisions of how those works in the context of the iot system.</p>
Zenodo
2018-11-14
info:eu-repo/semantics/report
1487711
user-cernopenlab
1689326684.035569
1267962
md5:0fb1ccfdb1c332904cec22059a74ac7b
https://zenodo.org/records/1487712/files/Report_Natacha Quintero.pdf
public
10.5281/zenodo.1487711
isVersionOf
doi