Hue: Starting Point for Exploration and Real Time Interaction with Hadoop
Thursday, August 22, 2013
11:15 AM – 11:45 AM
Level: Technical – Introductory
Apache Hadoop opens up many data crunching possibilities to the enterprise but also brings a lot of complexity: job and query management, XML configurations, file operations… take place on the command line or in high learning curve BI tools.
Hue, an open source web-based interface, aims to provide a better Hadoop user experience.
This talks describes how to achieve various common tasks for an ETL kind of workload on Hadoop, along with real-time exploration of data and results – all through the user friendly interface of Hue.
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.