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License: Creative Commons Attribution 4.0 International
Repository for Microsoft Team Data Science Process containing documents and scripts
License: Creative Commons Attribution 4.0 International
In the email TDSP was described as "an agile, iterative, data science methodology ". Does this mean it will follow the Agile development process?
Would be great to add a Project Online template with the main Data Science activities.
Hi,
I wanted to know, where do you include the testing in the data science because for the robust system dealing with several possibilities we need to test our model
Compare to traditional software lifecycle, how do you correlate with the data science life cycle?
Can you publish some detailed samples of how to structure Azure Resource Groups for managing shared analytics and storage infrastructure in a collaborative team environment?
Example: Every team member might have his/her own DSVM within their inidividual Resource Group, but if they need to use shared on-demand Cloudera cluster, or use a shared Azure SQL DB or Data Lake Store how should these shared resources groups be created?
RG_Team_Member_1 (has a DSVM)
RG_Team_Member_2 (has a DSVM)
RG_Cloudera (has the Cloudera cluster ?)
RG_Storage (may be has the Data Lake Store ?)
Especially when writing code that will be deployed into production systems.
A suggestion. This would allow easier insertion into slide decks where the background is something other than white.
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