Background Today’s advanced analytics applications run on more datasets that ever before. The locations of where data “lands” is becoming more dispersed. And the separation of compute and storage in modern environments lends well to running on these distributed datasets. Data can be stored in a remote location from the compute, such as in a … Continued
The purpose of Alluxio is to be an abstraction layer with storage systems underneath it. Alluxio is designed in a way that it assumes that there’s a storage layer underneath, so using it as another storage system does not solve the problem of having storage and compute co-located. Alluxio allows you to have long-running data … Continued
Increasingly S3 is being used as a data store for analytical and machine learning workloads. This means that it is very easy to generate a massive amount of get operations and request data from S3. For example: a couple of commands can launch a 1000 node cluster of AWS EMR service with the Spark or … Continued