--- title: 'Y! HUG August 2013, Hue: the Hadoop UI' author: admin type: post date: 2013-08-22T05:44:00+00:00 url: /y-hug-august-2013-hue-the-hadoop-ui/ tumblr_gethue_permalink: - http://gethue.tumblr.com/post/58987565975/y-hug-august-2013-hue-the-hadoop-ui tumblr_gethue_id: - 58987565975 sf_thumbnail_type: - none sf_thumbnail_link_type: - link_to_post sf_detail_type: - none sf_page_title: - 1 sf_page_title_style: - standard sf_no_breadcrumbs: - 1 sf_page_title_bg: - none sf_page_title_text_style: - light sf_background_image_size: - cover sf_social_sharing: - 1 sf_sidebar_config: - left-sidebar sf_left_sidebar: - Sidebar-2 sf_right_sidebar: - Sidebar-1 sf_caption_position: - caption-right slide_template: - default categories: - News format: link --- [Y! HUG August 2013, Hue: the Hadoop UI][1]
Hue: the Hadoop UI with tutorials.
Session II: Hue: the UI for Apache Hadoop
Hue is an open source, Web-based interface that makes Apache Hadoop easier to use. Hue’s target is the Hadoop user experience and lets users focus on quick data processing. Hue is a mature Web project that integrates into a single UI the Hadoop components and their main satellite projects.
This talk describes how Hue’s apps like File Browser and Job Browser let you list, move, upload HDFS files or access job logs in a few clicks. Workflows can be built and scheduled repetitively with some drag & drop interfaces and wizards, without having to deal with any Oozie XML.
Hue comes with three editors: Hive, Pig and Impala. Each editor improves readability and productivity by providing cool features like syntax highlighting. Some other apps let you customize Solr search results, browse HBase tables or submit Sqoop jobs. Moreover, Hue comes with a SDK for letting developers reuse its libraries and start building apps on top of Hadoop.
To sum-up, attendees of this talk will learn how Hue can open their Hadoop user base and why it is the ideal client for getting familiar or using the platform.
Speaker: Romain Rigaux, Software Engineer, Cloudera
Slides: http://www.slideshare.net/RomainRigaux/y-hug-hue-the-hadoop-ui