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Announcing Cloudera SDX

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.

 

Announcing Cloudera Altus Data Engineering on Microsoft Azure (Beta)

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 Other News

Cloudera and Fast Forward Labs

Cloudera has acquired Fast Forward Labs (FFL), one of the very best applied research companies working in the field.

Data Science Success Kit

Fast, easy, and secure self-service data science for the enterprise.

Deep Learning with Intel’s BigDL and Apache Spark

We find how well they work together and how this framework makes it easier for data scientists and analysts to continue to use their existing Apache Hadoop and Apache Spark platform as a unified data analytics platform.

Customizing Docker Images in Cloudera Data Science Workbench

This article shows how to build and publish a customized Docker image for usage as an engine in Cloudera Data Science Workbench.

How To Predict ICU Mortality with Digital Health Data, DL4J, Apache Spark and Cloudera

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.

How to Distribute your R code with sparklyr and Cloudera Data Science Workbench

sparklyr is a great opportunity for R users to leverage the distributed computation power of Apache Spark without a lot of additional learning.

Cloudera Tech Talk: How to read Impala query plan and profile? Part 1 and 2

This talk includes two sessions - one for beginners and one for advanced users.

 

 

Upcoming Events

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

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