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[Hue 2.0.1][1] has just been [released][2]{.trackLink}. 2.0.1 represents major improvement on top of the Hue 1.x series. To list a few key new features:
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[Hue 2.2][1] , the open source web-based interface that makes [Apache Hadoop][2] easier to use, lets you interact with Hadoop services from within your browser without having to go to a command-line interface. It features different applications like an Apache Hive editor and Apache Oozie dashboard and [workflow builder][3].
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This post is about the new release of [Hue,][1] an open source web-based interface that makes [Apache Hadoop][2] easier to use, that’s included in [CDH4.2][3].
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Managing and viewing data in [HDFS][1] is an important part of Big Data analytics. [Hue][2], the open source web-based interface that makes [Apache Hadoop][3] easier to use, helps you do that through a GUI in your browser —  instead of logging into a Hadoop gateway host with a terminal program and using the command line.
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In the first installment of the demo series about [Hue][1] — the open source Web UI that makes [Apache Hadoop][2] easier to use — you learned how file operations are simplified via the File Browser application. In this installment, we’ll focus on analyzing data with Hue, using Apache Hive via Hue’s Beeswax and Catalog applications (based on [Hue 2.3][3] and later).
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Hi Data Crunchers,
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You can now view Snappy compressed <a href="http://avro.apache.org/" target="_blank" rel="noopener noreferrer">Avro</a> files in Hue through the [File Browser][1]! Here is a quick guide on how to get setup with Snappy and Avro.
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Similarly to the [JobTracker High Availability configuration for MR1][1], Hue supports (since today’s date in master or Hue 3.7 or CDH5.1) more than one Resource Manager in case the Resource Manager goes down.
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A lot of exciting work has been done on File Browser to provide additional features and the best user experience possible. Take a look at the updates below and start using them today!
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Are you seeing this error when submitting a job to YARN? Are you launching an Oozie workflow with a Spark action? You might be hitting this issue!
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Hue comes with an [HBase App][1] that lets you create table, search for rows, read cell content… in just a few clicks. We are now glad to release the last missing piece of security (available in the upcoming Hue 3.8) for making the app production ready!
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With the latest Hue release, the metastore offers better controls over partitioned Hive tables. Partitioning Hive tables is a great strategy to [improve query performance][1] for Hive-managed tables by avoiding full-table scans.
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For Hue 3.9 we've made some improvements to the HBase Browser that will make your life easier when editing cell contents.
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[In a previous post][1], we demonstrated how to use Hue's Search app to seamlessly index and visualize trip data from Bay Area Bike Share and use Spark to supplement that analysis by adding weather data to our dashboard.
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We've recently made some nice improvements to the autocomplete and assist panel that should really boost the experience when working with the [notebooks][1] or editing SQL queries in the Hive and Impala query [editors][2].
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Hue continues to boost the experience of SQL users with its improved autocompletes, smarter assist panel, [SQL notebooks][1]... and now a revamped Hive Metastore Browser.
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