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Article . 2016
License: CC BY
Data sources: Datacite
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Hue Application For Big Data Ingestion

Authors: Bandić, Medina; Romero Marin, Antonio; Martin Marquez, Manuel;

Hue Application For Big Data Ingestion

Abstract

Abstract The purpose of project was to develop a web application for the HLoader - a data ingestion and ETL framework developed at CERN. This framework automates data streaming/ingestion from a wide range of data services into CERN Hadoop Big Data analytics cluster. The web application uses the HLoader REST API to interact with the framework and expose the ETL functionalities to the users. This report will introduce the HUE framework for web applications and explain why it is useful and how to use it. The report will give an overview of the frameworks and the technologies used for the project. This report will also show how to create an application in HUE and use the HLoader REST API. Finally, it will present the project future plans and improvements.

Keywords

CERN openlab summer student

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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