I picked up Disruptive Analytics available on Amazon which is Thomas Dinsmore’s recent book a few days ago and thought I would leave my impressions. Note this is not a review! First, I really enjoyed the history of the analytics platforms. The second and third chapters were very informative (History and Open Source respectively) and I learned a few things!
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.
About the author: Phil Rack is President of MineQuest Business Analytics, LLC located in beautiful Tucson Arizona. Phil has been a SAS language developer for more than 25 years. MineQuest provides WPS and SAS consulting and contract programming services and is an authorized reseller of WPS in North America.