Modern commercial supercomputing in the age of Datafication is what we today call Big Data. I think a better term for it would be Data Supercomputing but the industry has already spoken so Big Data it is. The architecture shifted from environments that required massively-parallel compute-intensive number crunching to massively-parallel data-volume-intensive processing.
Every employee at Pythian can use one workday per year to spend on activities to help the community. We call it a Pythian Volunteer Day. It’s up to the employee to decide what to use if for and when. This year I used my volunteer day to donate blood and this post is a short story about my experience.
What is like to work at Pythian? These are my observations based on my first days as a Pythianite.
In homage to my three month anniversary at Pythian, I’ve comprised the following list of five tips for anyone who is considering a future within our corporation.
The Pythian Volunteer Day Program allows us to give back, but in the end it is the volunteer who receives the most from investing a little time in the community
Inspired by a T-shirt he got from Splunk, Alex shares his thoughts on Big Data, data storage and the changing landscape with emerging technologies like Hadoop.
The era of datafication is here, businesses today are fully dependant on data. The Question is, Is your business ready?
Following my “Building Integrated DWH with Oracle and Hadoop” webinar for IOUG Big Data SIG, I got a bunch of excellent follow up questions. The most frequently asked questions are: What is the minimum I need to do to get started with Hadoop? and How do I load data into Hadoop? Since so many people are interested in the same question, it makes more sense to answer on the blog.