What is the greatest innovation that has affected your geospatial workflow in the last decade? For this end of year post, I look back over the past decade or so and share thoughts on a couple of historic milestones that I see. Then I share why I believe OmniSci has tapped into the next great innovation: geospatial analytics at scale.
Blog posts about Community
In this sequel post to analyzing San Francisco traffic, we include incident data as well as weather data. OmniSci is used to uncover meaningful insights, such as finding accident patterns and identifying the most dangerous intersections in the Bay Area.
As companies perform more real-time analytics, the Extract-Transform-Load (ETL) data processing model becomes too slow to support the business. Here’s how to run an Extract-Load-Transform (ELT) pipeline with OmniSciDB.
The Gaia space observatory has measured 1.7 billion stars. Using OmniSci Immerse, we walk through visualizing and examining this dataset, at various scales, to draw insights about stars and the Milky Way.
Our free, inaugural Community Day gathers together top OmniSci contributors and learners for a half-day of technical talks and content.
Mature enterprises have several tiers of legacy architecture, tied together as new technologies and use-cases arise. When high-performance, interactive analytics needs unfold, OmniSci is the perfect complement.
This year’s FOSS4G Bucharest highlighted exciting new developments in both open data and tools, and reconfirmed the importance of FOSS4G tools for tackling geospatial data.
Meddle is a data integration platform, powered by OmniSci, that pin-points gentrifying neighborhoods in New York City to help drive more informed policy and investment decisions
OmniSci.jl is the newest database client for OmniSci, allowing for GPU-accelerated data analysis using Julia. See the product announcement for more details about how to get started!
As Chicago becomes increasingly congested, new means of transportation are becoming the norm, including Divvy Bikes. Investigate the bikes’ intriguing traffic patterns and usage statistics using OmniSci Immerse.