Crosspost – This post first appeared on Python Data as Data Analytics & Python. So you want (or need) to analyze some data. You’ve got some data in an excel spreadsheet or database somewhere and you’ve been asked to take that data and do something useful with it. Maybe its time for data analytics & Python? Maybe … Read more
What do you think of when you hear the term ‘data modeling’? Just typing ‘data modeling’ almost made me go to sleep. Who am I kidding…I’m a data geek and this stuff is interesting…but some folks aren’t quite as excited by this stuff as I am. Data modeling has many different definitions and connotations. For … Read more
How many of you would go sky diving without learning all the necessary precautions and safety measures necessary to keep you alive? How many of you would let your kid drive your car without first teaching them the basics of driving? While not as life-and-death as the above questions, data preparation is just as important to … Read more
You’ve collected tons of data. You’ve got terabytes and terabytes of data. You are happy because you’ve got data. But, what are you going to do with that data?You’ll analyze it of course. But how are you going to analyze it and what are you going to do with that analysis? How does data analytics come … Read more
Last week I was asked whether there were any ‘secrets’ that companies can follow to ensure success with big data. My short answer was “Nope.” My longer answer was something along the lines of “there aren’t any secrets, just lots of work and a little bit of luck.’ Most folks don’t like to hear answers … Read more
I just read through “Four Ways to Innovate Using Big Data and Analytics” over on Forbes. It’s a good read…you should jump over and read it yourself. If you don’t have the time (or just don’t want to), I give my thoughts on these ‘four ways” below. The ‘four ways’ are: The payback on big data … Read more