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
Adding Dynamic Content to a Static Web Page
Lessons from the Data Ecosystem: Part 2
What We've Learned from Exploring the Data Ecosystem: Part 1
About Nate Williams
I’m Nate Williams, co-founder of Flex.io and a few other startups.
I’m a data professional, city dweller and amateur oneironaut. I love new ventures, good design, landscape-changing innovation, cultural history and backpacking in the hinterlands.
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.
After ten fantastic interviews with data journalists about their work, one point is already clear – data literacy is an increasingly essential skill.
Matt Keifer of the Chicago Reporter puts it succinctly: “Data is getting to be ubiquitous. … I think that ‘data journalism’ is an anachronism waiting to happen. Just call it journalism.”
This summer, we’ve started a new research project. The goal? To find out more about data journalism, and what, if anything, might make journalism-related data projects easier.
Our core question: are there any common data bottlenecks that data journalists encounter that Flex.io can help eliminate or reduce?
Data projects come in many shapes and sizes. From big data predictive analytics to small data spreadsheet projects, from building new open data applications to reconciling a couple of ERP tables in the accounting department.
In an excellent post, CIO Isaac Sacolick asks, what technologies work best for decentralized data scientists?
Recently, we’ve been seeing a lot of news about the promise of emerging applications for machine vision.
Much of it’s at the trial stage at this point, particularly with Google Glass and related projects. For instance, the police in Dubai are testing facial recognition on the streets, ER doctors are exploring uses for quick access to critical medical records and Walgreens is experimenting with augmented reality in stores.
It seems that implementing stronger security standards is not without risk. As the New York Times recently noted, Apple’s move to add full disk encryption to iOS 8 and remove any built-in backdoors has not won kudos from the N.S.A. and F.B.I.:
“It was the best of times, it was the worst of times, it was the age of wisdom, it was the age of foolishness, it was the epoch of belief, it was the epoch of incredulity…” – Dickens
It’s an exciting time to be a part of the data ecosystem. Mix together a surge of new data sources along with cheap storage and the ability crunch data quickly – and you have a limitless recipe for the mind-boggling cocktail of new data-related tools and solutions arriving on the landscape.