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10 Big Data Books To Boost Your Career
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jries921
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jries921,
User Rank: Ninja
4/29/2016 | 2:21:31 PM
The focus should be on the principles, not the tools
Once people understand what they're doing, then they can worry more about the finer points of the tools.  Thus, to start with a Python book was completely inappropriate.
Technocrati
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Technocrati,
User Rank: Ninja
4/26/2016 | 2:13:21 PM
Using Excel for Big Data Insight

Interesting to see a Book referenced here that maximizes the use of Excel.   The Analytics Industry would love that analysts use the more complex tools for Big Data analysis, but Excel is still very heavily relied upon and probably the fastest way to start to examine and gain insight from the Data.

Technocrati
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Technocrati,
User Rank: Ninja
4/26/2016 | 2:08:17 PM
Big Data Findings: How Do We Convey it ?

I am glad a book on Story Telling was included in this list.  This is a major issue for Analyst.  

After all the numbers and data have been crunched.  It is essential to be able to convey findings and approach easily to those who are less technically inclined.

Technocrati
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Technocrati,
User Rank: Ninja
4/26/2016 | 2:04:41 PM
Get Started With Understanding Big Data

Thank you Jessica for providing an interesting and useful listing of Big Data resources.  Those of us in tech can no longer easily ignore Big Data and your recommended reading list of great help.

Technocrati
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Technocrati,
User Rank: Ninja
4/25/2016 | 8:50:55 PM
The Misuse and Misunderstanding of Big Data

" ...if a poor student can't get a loan because his zip code shows he is too risky, then he's cut off from the kind of education that could pull him out of poverty."

 

 Just one example of how the use of Big Data is limited and counterproductive if it is not well structured from the start.

This is one of the recent arguments I have been making about the use of Big Data. I am glad that Ms. O'Neil addresses the issue. 

I would consider this a must read for Analytics professionals both new and old.

DevonG
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DevonG,
User Rank: Apprentice
4/25/2016 | 7:54:19 PM
Most of this isn't "big data"...
Will you PLEASE not assume "big data" means data science or analytics. They're not the same!! Stop the madness!


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