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Unfortunately for this data analyst NoSQL is alive and well. It is being rolled out to enterprise levels without the downstream impacts fully realized. This r
by larrydag 7y ago
Unfortunately for this data analyst NoSQL is alive and well. It is being rolled out to enterprise levels without the downstream impacts fully realized. This requires all sorts of ad-hoc ETL data methods which in turn puts more time and strain on budgets and resources. At least this is true in my organization.
- baldfat 7y agoI think there is much more non-SQL then the OP realizes. I have been protesting non-SQL, SQL is more powerful than most realize. Also the term "Big Data" is being used 99% of the time about data bases I could load into my ram but counted in millions. This then causes people to search for things and find non-SQL.
- deleted 7y ago[deleted]
- EdwardDiego 7y agoThat said, every big data tool I've encountered in current usage supports SQL - very few people writing Map/Reduce jobs these days. SQL has become the lingua franca of data analysis.