Turning up the volume on big data. Scale, immediacy, and continuous improvement. The datacenter as a computer. Leveraging human intelligence and activity. To address this need, we have developed Tachyon.

I am a cofounder of Databricks. Before that, I was a PhD student and then Postdoc in Computer Science in the AMPLab. At the University of California, Berkeley. The focus of my research and work is on large scale distributed computing systems, like Spark and Mesos. In particular, I am interested in resource management, scheduling, and rapid application development in cluster environments. I was one of the creators of Apache Mesos. And the Apache Spark Summits.

Saturday, December 15, 2012. My Experiences Interviewing for a New Job. I recently interviewed for a new software engineering role. It is a terrific time to be a software engineer in the Bay Area. Lots of companies, big and tiny, are hiring. I applied to a couple of startups and big companies through friends who already worked there. For most startups, I applied via a recruiter who contacted me over LinkedIn multiple times over the last one year.

A Community for all things Data Science. With the speed of data science, it is hard to keep up. Be your homepage for data science activities. Gain Some Data Science Knowledge. Whether you are considering a certificate, undergraduate, or graduate degree in data science. The following list probably has the right school for you. Do you have many of the necessary skills? A bootcamp might be just the thing for you.

Reddit has a great thread. On Python Subreddit has some nice on improving python code on daily basis. Yesterday I had good opportunity to attend DataMeet Mumbai. Overall was a good experience.