Ken Kaczmarek

About Ken Kaczmarek

Hi there, I’m Ken Kaczmarek, one of the co-founders of Flex.io.

Bean counter by trade, data wrangler by fate and homebrewer by necessity. I’ve gotten into trouble all around the world and currently on the lam in Chicago. Don’t tell my kids; they still think I’m on the up and up. A strong believer that anyone can make a good pie filling, but true transcendence can only be found in the crust.

Share Data Without Sharing Credentials: Introducing Pipe-level Permissions

June 16, 2017 by Ken Kaczmarek

Throughout the Flex.io journey, we’ve often used the phrase: “Data is a Team Sport.”

More often than not data processing requires some type of hand off between an ‘owner’ and a ‘user’. For instance, a business user might need an extract from an IT-supported system. Or a consultant may need a file that is owned by her customer.

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How to Embed a Live, Refreshable D3.js Chart into GitHub Pages

June 8, 2017 by Ken Kaczmarek

We recently had the honor to participate at PyCon (the preeminent annual Python conference) in Portland, as an invitee to Startup Row. It was truly wonderful to be a part of this fantastic community of coders and have a front-row seat to the bleeding edge of Python innovation.

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A 90 Degree Tilt: Introducing Vertical Pipes

April 11, 2017 by Ken Kaczmarek

As folks in our beta community may have noticed this weekend, we made a bit of a UI pivot. Literally. We’re delighted to introduce vertical pipes.

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Introducing our API and Command Line Interface: Flex.io for Developers

March 16, 2017 by Ken Kaczmarek

In the course of our private beta, I’d estimate that two-thirds of our sign-ups have come from developers and other IT folks. But, when you’re kinda, sorta reinventing the query builder for data prep and ETL, why would a developer—a demigod who can pump out a script on demand—care?

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Just Binge-Listened to 95 SaaStr Podcasts, Here's What I Learned

February 6, 2017 by Ken Kaczmarek

Who needs a #drinkwithharry?

Over the past few weeks, I tasked myself with listening to all ~32 hours of the SaaStr podcast, in preparation for the SaaStr Annual conference. Each show is an incredibly dense, 20-minute nugget on the business of SaaS. IMHO, it is totally and completely worthwhile to meander through twice-weekly.

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Prepare your Data. Rinse. Repeat.

March 14, 2016 by Ken Kaczmarek

As everyone knows by now, data is the new black. Conventional wisdom says businesses will either be data-driven or be at a serious competitive disadvantage.

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Improving Data Access: Getting Past Step One

November 4, 2015 by Ken Kaczmarek

In my previous post, I explored commonalities found in any given “data project.” Here we’ll run the first of the five gauntlets: data access.

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Data Prep to Data Pipes: 5 Facets of a Data Project

October 27, 2015 by Ken Kaczmarek

At this point, we’ve all heard the news.

Data is growing at an exponential rate. Data is the new oil. Data is a strategic advantage. Data is big. Data is small. Certainly Goldilocks believes her porridge data is jusssst right.

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The Push and Pull of Enterprise Data Collaboration

April 2, 2015 by Ken Kaczmarek

Like Doctor Dolittle’s famed pushmi-pullyu, enterprise data projects have a serious agility problem.

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Let a Thousand Data Silos Bloom

January 21, 2015 by Ken Kaczmarek

It’s a story as old as time. It’s a story of evolution, a story of freedom. And it’s a story of stuffing a genie back into its bottle.

Yes, I speak of the ancient enterprise battle royale: Productivity vs. Control.

These battles are constantly happening throughout the enterprise, usually with very good intentions. But, like so many good intentions, they often pave the road to, um… employee circumvention. Hey, gotta get stuff done, right?!?

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Pizza, Beer and Open Source Collaboration with GitHub

November 25, 2014 by Ken Kaczmarek

Beer glass

Gusty winds and 14 degree temperatures are apparently no match for pizza, beer and code.

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Of Unicorns and Clydesdales: Data Science at the Departmental Level

November 7, 2014 by Ken Kaczmarek

Much electronic ink has been spilled on the rise of the data scientist.

They’ve been called sexy. They’ve been called unicorns. And, we clearly see a direct correlation between this recent adulation and the uptick in searches for “sexy unicorn”. (At least, I hope that’s the reason).

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Enterprise Data Projects: It Takes a Village

October 13, 2014 by Ken Kaczmarek

I recently found an article discussing the four different types of Data Scientists. Turns out there’s a quite a bit of wiggle in what the term “Data Scientist” might mean – from business savant to data viz wiz to world class coder to Ph.D. in statistics. A question is posed:

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