Simplified Data Preparation for Machine Learning in Hybrid and Multi Clouds

ODSC WEST 2019 Cloud storage brings great flexibility in management and cost-efficiency to data scientists, but also introduces new challenges related to data accessibility and data locality for machine learning applications. For instance, when the input data is stored in a remote cloud storage like AWS S3 or Azure blob storage, direct data access is … Continued

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What do I do if Hadoop is slow?

So you have a Hadoop cluster that’s running fine and then you start to hear people saying that their jobs are running slow. This answer is meant to cover common reasons for slowness and look at some solutions to this problem.

From limited Hadoop compute capacity to increased data scientist efficiency

Alluxio Tech Talk *

This tech talk will share approaches to burst data to the cloud along with
how Alluxio can enable “zero-copy” bursting of Spark workloads to cloud data services like EMR and Dataproc. Learn how DBS bank uses Alluxio to solve for limited on-prem compute capacity.

Powering Data Science and AI with Apache Spark, Alluxio, and IBM

Alluxio Global Online Meetup *

In this online meetup, we will present the benefits of the fast analytics stack of Spark on Alluxio, and dive into China Unicom’s use case of leveraging Spark and Alluxio to process massive amounts of mobile data.