Top KDnuggets tweets, July 8-9: Data Scientists vs. Data Engineers; Understanding Hadoop MapReduce
Data Scientists vs. Data Engineers - what are their roles in the organization; For aspiring Big Data Scientists: Understanding Hadoop MapReduce; Data Science and Big Data Analytics - Free Course Module; Great Google tools for analysis & discovery
Most popular KDnuggets tweets
(see twitter.com/kdnuggets ) for July 8-9 were
Most viewed:
Very cool! YouTube Trends Map/Dashboard, by gender and age group - explore away! bit.ly/13xg69v
Most Retweeted:
#BigData corollary to Parkinson Law: The amount of data you collect will expand to fill all your storage bit.ly/13JsTEP
Most Favorited:
Great Google tools for analysis & discovery: Ngram Viewer, Correlate, Trends, Public Data Explorer, and more on.mash.to/1aTBtnb
Top 10 Tweets
- Data Scientists vs. Data Engineers - what are their roles in the organization bit.ly/158iRtt
- For aspiring Big Data Scientists: Understanding Hadoop MapReduce by HadoopExam (with interview questions) bit.ly/1agLTOh
- Data Science and Big Data Analytics - Free Course Module bit.ly/13IxS8C
- Great Google tools for analysis & discovery: Ngram Viewer, Correlate, Trends, Public Data Explorer, and more on.mash.to/1aTBtnb
- A Practical Introduction to Data Science: Notes and Links bit.ly/1agLwn6
- Very cool! YouTube Trends Map/Dashboard, by gender and age group - explore away! bit.ly/13xg69v
- Useful ! 41 stats shed light on #BigData as a solution, and as a problem bit.ly/12Sq2r3
- Peter Norvig, Google Engineering Director, on Learning Programming (by Humans and Machines) bit.ly/12ovFc5
- How to process really big text files and avoid nasty data corruption - step-by-step bit.ly/1dbDQ1v
- The easiest way to upload & sort a large dataset (400GB+) is not AWS or ElasticSearch, but 500 GB local disk! b.qr.ae/12WzYvp
Funny?
My reply to @StatSoft question how to verify the 41 stats mentioned above:
How to verify these stats? Perhaps average them, and if the answer is 42, then they are all correct.
