Some insights from #stratahadoop

Home ยป Some insights from #stratahadoop

Our second day in #StraataHadoop in Barcelona! Here we are again sourrounded by people from everywhere who are gathering, exploiting, analyzing and trying to communicate data to better understand the world and to predict new events. 

The conclusion from yesterday: not an easy task! There are many things to discuss here, many challenges that are still for humans’ not computers. Decisions such as what do we want to measure, what is really meaningful to understand, how to measure it (patterns, rules etc.), how to analyse data and better understand what data is telling us, and how to communicate it so that is really useful to make decisions (visualization techniques, how to get rid of dashboards…)

There are plenty of challenges still, and this is only for those who are already facing these challenges because they are applying, implementing, working on data…but still there is a need of awareness about how important is and will be data. For those who are not yet convinced, here is a full building of people ready to evangelise and spread the voice about the goodness of data. “Privacy shouldn’t be a concern if you obtain something valuable in return” these are some of the opinions that you can heard here in the corridors of #stratahadoop. However, a real concern that we've listened again and again here: use data to do good not harm. How can we use data to make people more capable? How to use data for humans?

Tim O’Reilly gave a very inspirational keynote about the internet of things and humans (#IoTH). He look at a number of #IoTH applications and devices, and how they help humans.  Also today Doug Cutting from Cloudera shared his insights about how data people should build trust, and this is done by institutions through transparency. 

You may think that here is where Governments should step in. This is the striking answer from what we have listented so far: people here seems to want to self-regulate all this. Oversight, third party players should watch all these processes and guarantee that there is transparency and make sure that data is used for good. However, it seems that there is an agreement that industry itself should do that. How?

Lots of food for thought! 

Join today's webinar at 14h CET and we will keep the discussion. Register here: