Tag Archives: Testing

Cloudera Director and Spot Instances: Resilience and Repair

Categories: CDH Cloud Testing

Cloudera Director enables self-service provisioning and management of CDH and Cloudera Enterprise Data Hub in the cloud. Running Cloudera Enterprise on top of public cloud infrastructure allows you to pay only for the resources you need to meet your data processing demands.

Amazon Web Services (AWS) provides the ability to bid on spare Amazon EC2 computing capacity at a discount through Amazon EC2 Spot instances. With Cloudera Director, you can configure clusters to use Spot instances to improve workload execution time and save costs.

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Progress Report: Bringing Erasure Coding to Apache Hadoop

Categories: Hadoop HDFS Performance

Get an update on the progress of the effort to bring erasure coding to HDFS, including a report about fresh performance benchmark testing results.

About a year ago, the Apache Hadoop community began the HDFS-EC project to build native erasure coding support inside HDFS (currently targeted for the 2.9/3.0 release). Since then, we have designed and implemented basic functionalities in the first phase of the project under HDFS-7285, and have merged the changes to the Hadoop trunk.

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Docker is the New QuickStart Option for Apache Hadoop and Cloudera

Categories: CDH Ops and DevOps QuickStart VM Testing

Now there’s an even quicker “QuickStart” option for getting hands-on with the Apache Hadoop ecosystem and Cloudera’s platform: a new Docker image.

docker-logoYou might already be familiar with Cloudera’s popular QuickStart VM, a virtual image containing our distributed data processing platform. Originally intended as a demo environment, the QuickStart VM quickly evolved over time into quite a useful general-purpose environment for developers, customers, and partners. Today,

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How-to: Use Impala with Kudu

Categories: How-to Impala Kudu

Learn the details about using Impala alongside Kudu.

Kudu (currently in beta), the new storage layer for the Apache Hadoop ecosystem, is tightly integrated with Impala, allowing you to insert, query, update, and delete data from Kudu tablets using Impala’s SQL syntax, as an alternative to using the Kudu APIs to build a custom Kudu application. In addition, you can use JDBC or ODBC to connect existing or new applications written in any language,

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Continuous Distribution Goodness-of-Fit in MLlib: Kolmogorov-Smirnov Testing in Apache Spark

Categories: Spark

Thanks to former Cloudera intern Jose Cambronero for the post below about his summer project, which involved contributions to MLlib in Apache Spark.

Data can come in many shapes and forms, and can be described in many ways. Statistics like the mean and standard deviation of a sample provide descriptions of some of its important qualities. Less commonly used statistics such as skewness and kurtosis provide additional perspective into the data’s profile.

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