Azure HDInisght was recently updated with version 9.3 of ML Services in HDInsight, which provides integration with R and Python. In particular, it makes it possible to run R and Python within HDInsight's managed Spark instance. The integration provides:
- R and Python support, with interaction via Visual Studio, VS Code, or RStudio
- Specialized distributed analytics libraries for R and Python
- Simple operationalization of R and Python with Spark
- Interoperability with Sparklyr, pyspark and H2O.ai
In the episode of Data Exposed embedded below, you can learn more about the ML Service 9.3 in HDInsight and see some demos of the R and Python integration.
Nice video. Looking forward to much more.
ML Services on HDInsight can be used with either Python or R-based analytics on datasets loaded on either
Azure Blob or Data Lake storage. As ML Services cluster is built on open-source R, it can be used with
thousands of open-source R packages, along with routines from ScaleR, Microsoft’s big data analytics package.
Posted by: ketan borhade | October 08, 2018 at 01:53