Why open source can save companies from drowning in the data lake
The end goal of any big data initiative is to deliver key insights very quickly, if not in real-time. While the first step of gathering data is challenging, today’s technology is more than capable of this.
What comes next – extracting accurate insights in real-time and gaining foresight from it – is something enterprises have yet to nail.
When put to good use, data can provide endless opportunities for innovation and growth, saving money and time, while also expediting services. Despite the opportunity to yield big insights from big data, many businesses are struggling with one of two challenges: those unable to tap their big data reserves and those drowning in data overload.
Let's start with a very clear warning: this is an Alpha test release. It has only been in development for a month or so. That means don't whine about this, that or the other thing that doesn't work, or is missing, or whatever. Celebrate what does work, and appreciate the dedication and talent of the Manjaro community members who are working on this!
To that end, I will start the celebration here with: Hooray! It works! Here is the proof, a screen shot taken on my Raspberry Pi 2 yesterday evening: