Talking About the Caltrain
On May 6th, SVDS hosted an Open Data Science Conference (ODSC) Meetup in our Mountain View headquarters. Data Engineer Harrison Mebane and Data Scientist Christian Perez presented on our Caltrain project.
Author Archive
Working Effectively in Data Science Teams
On April 21st, SVDS hosted the WWCode Silicon Valley chapter in our Mountain View office; we gave a talk titled Working Effectively in Data Science Teams.
Becoming Data Driven: A Conversation with Sanjay Mathur
CEO Sanjay Mathur recently took time to discuss first steps businesses can take when becoming data driven, and why the effort is worthwhile. You can find the full interview here.
IoT and Resilient Systems
We believe there are clearly some compelling value propositions that come from integrating the visibility from the IoT into applications that help understand and manage the state of complex systems. With the internet of things, the more things, really, the merrier.
Jupyter Notebook for Data Science Teams
Data Scientist Jonathan Whitmore has just released a screencast tutorial for Jupyter Notebooks.
Successful Data Teams are Agile and Cross-Functional
I was always struck by how the Silicon Valley startups I worked with could do so much more, with so much less. I’ve come to learn, sometimes the hard way, that there are critical elements of the “who” and the “how,” particular to those start-up teams, that contribute to their success. It’s why we named our company for Silicon Valley: a lightweight, agile approach to data-driven product development was pioneered here.
Understanding Modern Data Systems
In this post, Fausto talks about the characteristics that differentiate data infrastructure development from traditional development, and highlights key issues to look out for.
SVDS at Strata San Jose 2016
Several of our presenters were interviewed at Strata San Jose. If you missed the conference, check out these interviews below to catch up on some of the topics that were on our minds.
Building a Prediction Engine using Spark, Kudu, and Impala
In this post, Richard walks you through a demo based on the Meetup.com streaming API to illustrate how to predict demand in order to adjust resource allocation.