- Paperback: 262 pages
- Publisher: Apress; 1st ed. edition (August 28, 2016)
- Language: English
- ISBN-10: 1484213122
- ISBN-13: 978-1484213124
- Product Dimensions: 6.1 x 0.6 x 9.2 inches
- Shipping Weight: 15.5 ounces (View shipping rates and policies)
- Average Customer Review: 5.0 out of 5 stars See all reviews (1 customer review)
- Amazon Best Sellers Rank: #761,156 in Books (See Top 100 in Books)
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Disruptive Analytics: Charting Your Strategy for Next-Generation Business Analytics 1st ed. Edition
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Top Customer Reviews
Regarding Open Source, I agree that we will see Python supplant R as the “go to language” for analytics in the Open Source arena. It might take a few years but if my customers interests are indicative of this trend, it will happen.
Dinsmore does an admirable job in Chapter 4 on Hadoop. This chapter is fairly dense reading for me mainly because there are a lot of terms and definitions in this chapter. If you were ever looking for an overview of the Hadoop ecosystem, this is probably a good start.
The other chapter I really liked was Chapter 6. This chapter deals with streaming analytics and I believe we are just in the infancy of this revolution. Smart Cities will be a very visible platform for many people to see and benefit from streaming analytics.
I would like to see in a future edition a presentation of the role of the analytics workstation and flash memory in the analytics framework. Data Scientist who are developing algorithms and processing data are often using workstations in lieu of servers. Perhaps even a few pages on how nVidia is revolutionizing the analytics world with CUDA processing on high power workstations. I think I would enjoy that.