Shared Data Experience -- SDX -- is Cloudera’s secret ingredient that makes it possible to deploy Cloudera’s four core functions (Data Engineering, Data Science, Analytic DB, Operational DB) on-premises or in the cloud with a common catalog, governance, and security, so you don’t have to re-create the data context.
This platform-as-a-service offering makes it easier and more cost-effective to run Cloudera in your choice of cloud. The service targets data engineering workloads and will allow you to easily spin up Cloudera clusters and run your data pipelines.
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In this case study, we take a look at modeling electronic health record (EHR) data with deep learning and Deeplearning4j (DL4J). We draw inspiration from recent research showing that carefully designed neural network architectures can learn effectively from the complex, messy data collected in EHRs.
sparklyr is a great opportunity for R users to leverage the distributed computation power of Apache Spark without a lot of additional learning.
October 4th - Meetup: Cloudera in the Cloud, Kontich, Belgium
October 5th - Cloudera Sessions, Paris, France
October 6th - Cloudera Sessions, Sydney, Australia
October 10th - Cloudera Sessions, Nashville, TN
October 12th - Lunch and Learn from your Machines, Philadelphia, PA
October 19th - Tips on New Deployments, Cloudera in the Cloud, Sizing Hadoop, Pittsburgh, PA