The "Aha" Moment: How to Onboard an API Service and Get Active Users
Introducing Serverless Data Feeds
Share Data Without Sharing Credentials: Introducing Pipe-level Permissions
How to Embed a Live, Refreshable D3.js Chart into GitHub Pages
A 90 Degree Tilt: Introducing Vertical Pipes
A Simple Pipe Routing Example: HTML Upload to HTML Display
Introducing our API and Command Line Interface: Flex.io for Developers
Just Binge-Listened to 95 SaaStr Podcasts, Here's What I Learned
Thoughts on the Data Ecosystem
The Flex.io Blog
As we’ve progressed through our private beta, one of the most fruitful activities has been talking with folks in different user communities about their data projects. This has had a profound impact on our product vision and roadmap (including a few major pivots).
In the brief history of the data ecosystem, the query builder already seems like a relic of a bygone era. Compared to predictive analytics, machine learning, and all the innovation going on around Big Data, the query builder is hardly a shiny new thing.
Over the summer, we embarked on a research project to learn more about data journalism and how data journalists work with data.
During our summer research project, we’ve had the pleasure of interviewing over 15 data journalists about their work so far. And while we’ve been hearing fascinating stories and learning a lot about how they work with data, we also wanted to put some numbers to these conversations. Enter our Data Journalism Survey.
Joe Germuska is Executive Director at the Knight Lab at Northwestern University, or as he calls it, “Chief Nerd”. Starting out as a programmer, he got into journalism in 2009 while working at the Chicago Tribune developing news applications and interactive data sites, such as “Crime in Chicagoland“, which aimed to make all reported crime data in the Chicagoland area searchable and more transparent. Joe was also the project lead for Census Reporter, a project funded by the Knight News Challenge that makes it easier for journalists and the public to access data from the U.S. Census.
Giannina Segnini is the James Madison Visiting Assistant Professor of Journalism at the Graduate School of Journalism at Columbia University and the Director of the Master of Science Data Concentration Program. Prior to her academic career, Giannina worked as the editor of the investigative unit at La Nacion in Costa Rica. She has been involved in dozens of noteworthy investigative projects over the years, from building the offshore leaks database to assisting with shipping and trade data in the Panama Papers. Her work has garnered a long list of accolades and prizes, including the Maria Moors Cabot Award and the Excellence Award from the Gabriel García Márquez Foundation.