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7 References
[1]
https://globenewswire.com/news-release/2017/03/06/931924/0/en/New-Survey-Finds-Cloud-Analytics-Now-Mainstream-and-Riding-a-Wave-of-Governed-Self-Service.html
[2]
https://blogs.endjin.com/2016/08/aws-vs-azure-vs-google-cloud-platform-analytics-big-data/[3]
http://www.kdnuggets.com/2015/04/cloud-machine-learning-amazon-ibm-watson-microsoft-azure.html[4]
http://stackoverflow.com/questions/40326085/compare-aws-lambda-azure-functions-and-google-cloud-function
[5]
https://www.reddit.com/r/bigdata/comments/3jnam1/whats_your_preference_for_running_jobs_in_the_aws/cur518e/
[6]
http://www.microsofttrends.com/2015/08/24/comparing-ibm-watson-analytics-with-azure-ml/[7]
https://ilyas-it83.github.io/CloudComparer/[8]
http://nathanmarz.com/blog/how-to-beat-the-cap-theorem.html[9]
https://www.linkedin.com/pulse/migration-data-warehouses-cloud-deepa-deshpande[10]
http://www.atscale.com/[11]
http://kylin.apache.org/[12] Cubrick: Indexing Millions of Records per Second for Interactive Analytics, Pedreira
et.al., Facebook, VLDB
2016,
http://www.vldb.org/pvldb/vol9/p1305-pedreira.pdf[13] Data Infrastructure at Flipkart, Sharad Agarwal, VLDB 2016,
https://www.slideshare.net/sharad_ag/data-infrastructure-at-flipkart-vldb-2016
[14] Seth Gilbert and Nancy Lynch, “Brewer’s conjecture and the feasibility of consistent, available, partition-
tolerant web services”, ACM SIGACT News, Volume 33 Issue 2 (2002), pg. 51–59.
[15] Best Practices in Data Management for Analytics Projects,
https://www.persistent.com/data-management-best-practices/
[16] TPC-H: an ad-hoc, decision support benchmark,
http://www.tpc.org/tpch/24