Learn how to set up Google Cloud Dataproc with Alluxio so jobs can seamlessly read from and write to Cloud Storage. See how to run Dataproc Spark against a remote HDFS cluster.
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
Learn why leading companies are moving towards a decoupled compute and storage architecture, and the associated challenges and requirements. Hear about how Spark and Alluxio together can solve the challenges.
See how Cloudera’s hybrid cloud approach compares to Alluxio.
How do WANdisco and Alluxio hybrid solutions stack up? Learn more.
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.
In this talk, we present: trends and challenges in the data ecosystem in cloud era; Data engineering in the cloud with data orchestration; Use cases of using tech stacks (Presto or Tensorflow) with Alluxio on S3.
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.
Learn more about Bazaarvoice’s use case leveraging Apache Spark, Hive, and Alluxio on S3. Along with how to set up Hive with Alluxio so that Hive jobs can seamlessly read from/write to S3.