[This is a follow on to the Analytics Cartoon page]
Are we really ready for the consequences of networked home appliances and the Internet of Things?
What will happen when preventative maintenance meets health?!
Are you still torturing your data? There’s a better way:
What is a data scientist?
Data scientists are the new rock stars:
Careful your data lake doesn’t turn into a data swamp:
And make sure your various analytic efforts don’t turn into “data puddles“:
Big data marketing can be creepy:
What chance does data have?!
It doesn’t take a fortune teller to know that Predictive Analytics is the future.
Big Data might well be important for your next job:
What’s the real business benefit of in-memory processing?
The problem with most analytics is that it’s not fast enough
Hadoop is great — although they sometimes seem like they’re reinventing the wheel:
Finance isn’t sure about Hadoop, either:
Are you making the most of your dark data?
How much could YOUR organization save if you had reliable, consistent information?
Never let anybody tell you that failure is not an option…
Here’s one way to optimize data warehousing performance!
What’s next in Big Data? Well, I daringly predict that there will be more of it…
Data Privacy is important… please help.
A lot of analytics just seems completely made up:
Use the right technology for the right type of analytics…
Who’s data is it?
So you think YOUR definition of Big Data is the only correct one? Go jump in a data lake…
Are you SURE you want to complain about data privacy?
Some think that artificial intelligence is the next “killer feature”
We all need help justifying our opinions, right?