Top 5 Big Data Trends for Major Enterprise Projects

1. The hybrid data cloud.
2. Mobility is driving big data investment.
3. Big data can surround and enhance existing applications.
4. Internet of Things will make current big data projects look like small stuff.
5. Big innovation is coming to the front end of the data spectrum.



No doubt you've encountered the image below from Gizmodo in some PowerPoint somewhere this year.

But that same PowerPoint likely didn't bother to answer the next logical question:

How to get to causality?

Why We Like to Play with Shiny Toys

I was recently a presenter in the financial planning and analysis (FP&A) track at an analytics conference where a speaker in one of the customer marketing tracks said something that stimulated my thinking. He said, “Just because something is shiny and new or is now the ‘in’ thing, it doesn’t mean it works for everyone.”

Data Scientists vs. Data Engineers

More and more frequently we see organizations make the mistake of mixing and confusing team roles on a data science or "big data" project - resulting in over-allocation of responsibilities assigned to data scientists. For example, data scientists are often tasked with the role of data engineer leading to a misallocation of human capital. Here the data scientist wastes precious time and energy finding, organizing, cleaning, sorting and moving data. The solution is adding data engineers, among others, to the data science team.