Self-Service Open Data Science: Custom Anaconda Parcels for Cloudera CDH
Earlier this year, as part of our partnership with Cloudera, we announced a freely available Anaconda parcel for Cloudera CDH based on Python 2.7 and the Anaconda Distribution. The Anaconda parcel has been very well received by both Anaconda and Cloudera users by making it easier for data scientists and analysts to use libraries from Anaconda that they know and love with Hadoop and Spark along with Cloudera CDH. Since then, we’ve had significant interest from Anaconda Enterprise users asking how they can create and use custom Anaconda parcels with Cloudera CDH. Our users want to deploy Anaconda with different versions of Python and custom conda packages that are not included in the freely available Anaconda parcel. Using parcels to manage multiple Anaconda installations across a Cloudera CDH cluster is…
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