When most people think about analytics and Hadoop, they tend to think of technologies such as Hive, Pig and Impala as the main tools a data analyst uses. When you talk to data analysts and data scientists though, they’ll usually tell you that their primary tool when working on Hadoop and big data sources is in fact “R”, the open-source statistical and modelling language “inspired” by SAS but now with its own rich ecosystem, and particularly suited to the data preparation, data analysis and data correlation tasks you’ll often do on a big data project
http://www.rittmanmead.com/2014/03/running-r-on-hadoop-using-oracle-r-advanced-analytics-for-hadoop/
Domains and Annotations in 26ai
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In a previous blog post I had demonstrated Domains for Columns and an
Annotation for a table in 23ai.
Domains are "Data Use Case Domains" -- predefined ...
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