sparklyr is a new R front-end for Apache Spark, developed by the good people at RStudio. It offers much more functionality compared to the existing SparkR interface by Databricks, allowing both dplyr-based data transformations, as well as access to the machine learning libraries of both Spark and H2O Sparkling Water. Moreover, the latest RStudio IDE v1.0 now offers native support …
How to evaluate R models in Azure Machine Learning Studio
Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing machine learning workflows. The basic computational unit of an Azure ML Studio workflow (or Experiment) is a module which implements machine learning algorithms, data conversion and transformation functions etc. Modules can be connected by data flows, thus implementing a machine learning pipeline. A typical pipeline in …
Installing the additional R packages in Oracle Big Data Lite VM 4.5.0
Oracle has just released version 4.5.0 of the Big Data Lite VM which, when it comes to R, still suffers from the issues we had pinpointed for the previous version 4.4.0 (and then some). The first attempt to install the additional packages fails with a ‘cannot open URL’ error: Fortunately, the warning about the proxy helps to locate the issue, …
How to use SparkR in Cloudera Hadoop
Suppose you are an avid R user, and you would like to use SparkR in Cloudera Hadoop; unfortunately, as of the latest CDH version (5.7), SparkR is still not supported (and, according to a recent discussion in the Cloudera forums, we shouldn’t expect this to happen anytime soon). Is there anything you can do? Well, indeed there is. In this …
Installing the additional R packages in Oracle Big Data Lite VM 4.4.0
In the just-released version 4.4.0 of Oracle Big Data Lite VM, as in the previous one (4.3.0.1), there is a rather large number of additional R packages to be installed by the provided script install_additional_packages.sh, i.e. 28 packages without counting their dependencies (the respective number in version 4.2.1 was only 10). Unfortunately, what has also changed is the form of …
Using ROracle with Oracle Instant Client 12c
The other day, while setting up the new Oracle R Enterprise (ORE) 1.5 client packages in a Linux server, we installed the Oracle DB Instant Client v. 12.1, as advised in the relevant documentation. Problem was, ORE failed to load, in fact due to ROracle failure: Truth is, the file libclntsh.so.11.1 did not exist, but this was expected, simply due …
Querying Big Data SQL tables with Oracle R Enterprise
I was wondering recently if I could use Oracle R Enterprise (ORE) to query Big Data SQL tables (i.e. Oracle Database external tables based on HDFS or Hive data), since I have never seen such a combination mentioned in the relevant Oracle documentation and white papers. I am happy to announce that the answer is an unconditional yes. In this …
Caution when installing Oracle R Distribution in Oracle Linux using Yum
Last week we tried to install Oracle R Distribution (ORD) in Oracle Linux 7.1 using Yum, which is the installation method recommended by Oracle. After following closely the instructions provided in the documentation, instead of the Oracle R Distribution 3.2.0, we found ourselves with the latest (3.2.3) version of GNU R installed. What had happened is that in our /etc/yum.repos.d, …
Oracle R Enterprise 1.4: ore.make.names does not work for Oracle DB connections
I have reported in the past about some unexpected behavior issues of Oracle R Enterprise 1.4 ore.make.names function; nevertheless, back then I had only tried it with Hive connections. I tried to use it today with an Oracle database connection, and it doesn’t seem to work. Here is a reproducible example in Oracle Big Data Lite VM 4.2.1, using the …
Manipulating Hive tables with Oracle R connectors for Hadoop
In this post, we’ll have a look at how easy it is to manipulate Hive tables using Oracle R connectors for Hadoop (ORCH, presently known as Oracle R Advanced Analytics for Hadoop – ORAAH). We will use the weblog data from Athens Datathon 2015, which we have already loaded in a Hive table named weblogs, as described in more detail …
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