Tag Archives: CDH

Third-Party Libraries in C6

Categories: CDH General Platform Security & Cybersecurity

Cloudera has put a significant amount of work into upgrading the third-party libraries used in our just-released C6 version. This major upgrade of our software has given us the opportunity to upgrade many of the libraries we use. These upgrades allow us to avoid security vulnerabilities, use modern versions of libraries, and to standardize versions of libraries across CDH.

Modern software development relies on reusing other people’s code. Code reused in this fashion is called a “third-party library.”

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Custom Hostname for Cloud Instances

Categories: Altus CDH Cloud Cloudera Director How-to Ops and DevOps Tools

Cloudera Altus Director provides the simplest way to deploy and manage Cloudera Enterprise in the cloud. It enables customers to unlock the benefits of enterprise-grade Hadoop while leveraging the flexibility, scalability, and affordability of the cloud. It integrates seamlessly with Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure, and provides support to build custom plugins for other public or private cloud environments.

Motivation

While automating the provisioning of a cluster on the cloud using Altus Director,

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Deep learning with Apache MXNet on Cloudera Data Science Workbench

Categories: CDH Cloudera Data Science Workbench Data Science

With the abundance of deep learning frameworks available today, it can be difficult to know what to choose for any particular application. Given the contrasting strengths and weaknesses of these frameworks, the ability to work with and switch between more than one is particularly important. Recent Cloudera blogs have shown how examples of applying deep learning on the Cloudera ecosystem using popular frameworks Deeplearning4j, BigDL, and Keras+TensorFlow.

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Deep Learning with Intel’s BigDL and Apache Spark

Categories: CDH Data Science Hadoop Spark

Cloudera recently published a blog post on how to use Deeplearning4J (DL4J) along with Apache Hadoop and Apache Spark to get state-of-the-art results on an image recognition task. Continuing on a similar stream of work, in this post we discuss a viable alternative that is specifically designed to be used with Spark, and data available in Spark and Hadoop clusters via a Scala or Python API.

The Deep Learning landscape is still evolving.

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Accessing Secure Cluster from Web Applications

Categories: CDH Hadoop How-to

As customers use Apache Hadoop clusters in ways other than through HUE and Hadoop Command Line Interface (CLI) and integrate it closely with the applications they develop, we often get asked how to access their secure Hadoop cluster from within the custom applications. Many customers use a service account in their application and access the cluster with a fixed service account. However, other customers would like to access as the end users who have authenticated to the application.

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