3 Mitos de Big Data revelados Uno. Sobre el tamao de datos: el verdadero valor est en cmo utilizamos los datos, no la cantidad de datos que tenemos. Dos. Todas las personas necesitan acceder a la informacin de manera fcil y rpida. Para resolver esta necesidad requerimos alguien especializado en datos (un Data Scientist) Tres. Existen lo que se denomina "framework de software" especiales como Hadoop. Es un sistema bueno, pero generalmente necesitamos unir informacin de fuentes dispares que se encuentra dispersa.
Text of 3 Mitos de Big Data revelados
Big Data is
Talk to any business, and they’ve probably discussed the topic of big data and what it means
for their organization.
Perhaps they’ve even made an investment in big data with the promise of insight.
But today, few organizations are realizing the promised value of big data.
That’s because they are thinking about it all wrong.
1 It’s all about size
2 You need a data scientist
3 You need a system like Hadoop
3 myths about big data
It’s all about size
Talking about size, speed, and complexity misses the real point of
big data. Every day, data gets bigger, faster, and more complex.
But now we’ve reached a tipping point.
We’re collecting data about processes and activities that we’ve never captured before.
We call this datafication: it’s the idea that almost
anything can be quantified.
And because storage and processing are cheap,
we can collect data about almost anything, just
in case we need it.
But just because you have a lot of data doesn’t mean you have business value.
People are still the most important asset of any company. And now the real question becomes “what can you learn from your data that would change your business?”
The most important thing IT can do is to work with the business to determine how the answers to new questions can help drive the business forward.
MythYou need a data scientist to tame big data.
Your most valuable technology asset isn’t really a technology
at all. It’s your data. The ability to manage your data well and
to extract value from it is critical.
But it’s not necessary to hire a super human data scientist
to do it all for you.
What is important is that you create a culture of data-driven decision making and ensure that everyone across your
organization has the data they need to do their job well.
And, here’s a little secret:
Most people in your company don’t need big data. They need small data. But they need it in a way that is easy to use and gives them the information they need
in terms they can understand.
MythYou need a big data system like Hadoop
There are a number of new technologies today that help you deal with data – including Hadoop.
These are great tools to have in your toolbox. But just as you don’t need a hammer for every fix-it job, you don’t need a Hadoop-like system to solve every data problem.
It’s important to recognize and embrace data disparity. The reality is that your data is not all going to reside in one location.
Remember the data warehouse? It was rarely, if ever, the only place that you needed to go
for all of your data. And, today, your data may be in even more
locations than ever before with the addition of big data
architectures and cloud.
What matters most is the ability to bring data together from many
disparate sources in order to solve a business problem or tell a story