Tag Archives: logs

How-to: Run Apache Mesos on CDH

Categories: CDH Cloudera Manager Guest Ops and DevOps

Big Industries, Cloudera systems integration and reseller partner for Belgium and Luxembourg, has developed an integration of Apache Mesos and CDH that can be deployed and managed through Cloudera Manager. In this post, Big Industries’ Rob Gibbon explains the benefits of deploying Mesos on your cluster and walks you through the process of setting it up.

[Editor’s Note: Mesos integration is not currently supported by Cloudera, thus the setup described below is not recommended for production use.]

Apache Mesos is a distributed,

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Working with Apache Spark: Or, How I Learned to Stop Worrying and Love the Shuffle

Categories: Guest Spark

Our thanks to Ilya Ganelin, Senior Data Engineer at Capital One Labs, for the guest post below about his hard-earned lessons from using Spark.

I started using Apache Spark in late 2014, learning it at the same time as I learned Scala, so I had to wrap my head around the various complexities of a new language as well as a new computational framework. This process was a great in-depth introduction to the world of Big Data (I previously worked as an electrical engineer for Boeing),

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New Cloudera Search Training: Learn Powerful Techniques for Full-Text Search on an EDH

Categories: Search Training

Cloudera Search combines the speed of Apache Solr with the scalability of CDH. Our newest training course covers this exciting technology in depth, from indexing to user interfaces, and is ideal for developers, analysts, and engineers who want to learn how to effectively search both structured and unstructured data at scale.

Despite being nearly 10 years old, Apache Hadoop already has an interesting history. Some of you may know that it was inspired by the Google File System and MapReduce papers,

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Using Apache Parquet at AppNexus

Categories: Guest Impala Parquet Performance

Thanks to Chen Song, Data Team Lead at AppNexus, for allowing us to republish the following post about his company’s use case for Apache Parquet (incubating at this writing), the open standard for columnar storage across the Apache Hadoop ecosystem.

At AppNexus, over 2MM log events are ingested into our data pipeline every second. Log records are sent from upstream systems in the form of Protobuf messages. Raw logs are compressed in Snappy when stored on HDFS.

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How Edmunds.com Used Spark Streaming to Build a Near Real-Time Dashboard

Categories: Cloudera Labs Flume Guest Spark Use Case

Thanks to Sam Shuster, Software Engineer at Edmunds.com, for the guest post below about his company’s use case for Spark Streaming, SparkOnHBase, and Morphlines.

Every year, the Super Bowl brings parties, food and hopefully a great game to appease everyone’s football appetites until the fall. With any event that brings in around 114 million viewers with larger numbers each year, Americans have also grown accustomed to commercials with production budgets on par with television shows and with entertainment value that tries to rival even the game itself.

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