Alluxio on EMR: Fast Storage Access and Sharing for Spark Jobs

This is a guest blog by Chengzhi Zhao with an original blog source. Traditionally, if you want to run a single Spark job on EMR, you might follow the steps: launching a cluster, running the job which reads data from storage layer like S3, performing transformations within RDD/Dataframe/Dataset, finally, sending the result back to S3. … Continued

How do you modify location metadata in Hive?

Problem If you have hundreds of external tables defined in Hive, what is the easist way to change those references to point to new locations? That is a fairly normal challenge for those that want to integrate Alluxio into their stack. A typical setup that we will see is that users will have Spark-SQL or … Continued

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Running Presto with Alluxio on Amazon EMR

Alluxio Community Office Hour - May *

Many organizations are leveraging EMR to run big data analytics on public cloud. However, reading and writing data to S3 directly can result in slow and inconsistent performance. Alluxio is a data orchestration layer for the cloud, and in this use case it caches data for S3, ensuring high and predictable performance as well as reduced network traffic.