Data Science Stack Exchange

The Data Science Stack Exchange is a question and answer site for data science professionals.
The Data Science Stack Exchange is a question and answer site for data science professionals.
A couple of months ago, I blogged about Peak Hard Drive, that hard drive capacities were leveling off and how this would impact the footprints of data centers in the era of Big Data. Since then, there have been two major announcements about SSDs that indicate they may come to the rescue:
The goal of Data Analytics (big and small) is to get actionable insights resulting in smarter decisions and better business outcomes. How you architect business technologies and design data analytics processes to get valuable, actionable insights varies.
According to recent survey by Burtch Works.
Using SQL on Hadoop data has been deemed a holy grail and Apache Spark has gained the mainstream press coverage it has long deserved in part due to its 1.0 release.
In the drive towards the semantic web, mailing lists are ripe, low hanging fruit. They are full of wisdom totally inaccessible to the casual user. To unlock this wealth of knowledge for our apps, we need it in a format like the Stack Exchange data dump.
"Life imitates art far more than art imitates life." - Oscar Wilde
Data scientists are the lion kings of data pros.
Salaries for business intelligence and data warehousing pros are stagnating.
According to recently released reports by Burtch Works, data science professionals are at the top of the pay scale.
This evening, Ted Dunning from MapR and major contributor to Apache Mahout, showed the future of Mahout.