There are many reasons why analyzing energy market data is more difficult, and more important in today’s global economy than in the past. In the US, we have gone from being a net consumer of oil and gas to the largest producer in the world.
The formal Big Data Bowl contest ended January 25, but with the Super Bowl coming up this weekend, I wanted to share how I loaded this data into OmniSci Cloud and some simple insights I found while playing with it. Follow along and you too will be exploring the NFL data in no time.
The newest release of "pymapd (0.7)" picks up on the work from 2018; here’s what changed since the last pymapd release and our plans for pymapd and related tools in the first half of 2019.
Connect with OmniSci at an upcoming event. Meet the team, get a demo and learn about our open positions.
We are hard at work on our roadmap for next year, including OmniSci 5.0—we have a lot of exciting capabilities that will make OmniSci the ideal platform when you need both interactivity and scale to underpin any sort of insight you wish to derive from data.
Investigate American opioid crisis data with a fully interactive, visual analytical experience
The latest release of OmniSci Cloud includes a much sought after feature - access to OmniSci's Apache Thrift API
OmniSci recently released two features to the OmniSci Cloud platform: Teams and API access.
OmniSci highlights from GTC Europe 2018, including support on RAPIDS, our talk about Vehicle Telematics, and our first European reseller SCAN UK
Working with big data can be frustrating, as there is often a tradeoff between a high-level API and poor I/O performance