Tag Archives: sql

implyr: R Interface for Apache Impala

Categories: CDH Data Science HBase HDFS Impala Kudu Tools

New R package implyr enables R users to query Impala using dplyr.

Apache Impala (incubating) enables low-latency interactive SQL queries on data stored in HDFS, Amazon S3, Apache Kudu, and Apache HBase. With the availability of the R package implyr on CRAN and GitHub, it’s now possible to query Impala from R using the popular package dplyr.

dplyr provides a grammar of data manipulation,

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New in Cloudera Enterprise 5.10: Hue SQL Editor and Security Improvements

Categories: Hadoop Hue Oozie

Cloudera Enterprise 5.10 includes the latest updates of Hue, the intelligent editor for SQL Developers and Analysts.

As part of Cloudera’s continuing investments in user experience and productivity, Cloudera Enterprise 5.10 includes an updated version of Hue. We provide a summary of the main enhancements in the following part of this blog post. (Hue from C5.10 is also available for a quick try in one click on demo.gethue.com.)

SQL Improvements

The Hue editor keeps getting better with these major improvements:

Row Count

The number of rows returned is displayed so you can quickly see the size of the dataset.

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New in Cloudera Enterprise 5.8: SQL Editor and Other Productivity Improvements

Categories: CDH Hue Search Sentry

Cloudera Enterprise 5.8 includes the latest release of Hue (3.10), the web UI that makes Apache Hadoop easier to use.

As part of Cloudera’s continuing investments in user experience and productivity, Cloudera Enterprise 5.8 includes a new release of Hue that makes several common tasks much easier. In the remainder of this post, we’ll provide a summary of the main improvements. (Hue 3.10 is also available for a quick try in one click on demo.gethue.com.)

New SQL Editor

Hue’s new code editor is a single-page app that is much simpler to use than the previous editor.

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BI and SQL Analytics with Apache Impala (Incubating) in CDH 5.8: 3x Faster on Secure Clusters

Categories: CDH Impala

Released with CDH 5.8, Impala 2.6 brings solid performance improvements, particularly for clusters secured by Kerberos running BI workloads on Apache Hadoop.

Just a few months back, we showed you how Impala 2.5 delivered a 4x performance boost compared to Impala 2.3 for BI workloads on Hadoop via the introduction of several features like runtime filters. Here’s an update: Compared to two releases ago, Impala 2.6 delivers 12x better performance on secure workloads and continues this drumbeat of consistent performance improvement.

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Cloudera Navigator Optimizer Graduates from Beta, is Now Generally Available

Categories: Cloud Cloudera Navigator Hadoop

This new release includes, among other things, support for “slicing and dicing” workloads by user/application/report, workload breakdown by similar queries, and alerts for Apache Hive and Apache Impala (incubating) best practices.

Cloudera Navigator Optimizer enables database architects and database administrators (DBAs) to gain in-depth understanding of their SQL workloads running in data warehouse environments or on Apache Hadoop. Navigator Optimizer makes planning offload projects more predictable by assessing risk and reducing development costs.

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