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Erik Gfesser

📍 Greater Chicago Area

Personal Reading List: 2Q2020

My personal reading list for April, May, and June 2020. Color Key: Special Notes, Completed Reading. Updated throughout the Quarter. At Bat (Schnell) The Model Thinker: What You Need to Know to Make Data Work for You, by Scott E. Page, Basic Books, 2018. Tanmay Teaches Julia for Beginners: A

Media Query Source: Part 25 - Unite.AI (US digital magazine); Erik interviewed by Unite.AI

* Unite.AI (US digital magazine) * Q&A with CEO of Unite.AI * My career in software engineering & data * Tooling has converged between these spaces My responses ended up being included in the Interview Series at Unite.AI (April 21, 2020), a San Francisco based media firm "designed

New Book Review: Disruptive Analytics

New book review for Disruptive Analytics: Charting Your Strategy for Next-Generation Business Analytics, by Thomas W. Dinsmore, Apress, 2016: The author mentions at the outset that analytics industry leaders have been struggling, for reasons apparently not associated with product quality, but with disruption. Powerful forces are rearranging the industry: rapidly

New Book Review: Rethinking Strategy

New book review for Rethinking Strategy, by Steve Tighe, Wiley, 2019: Copy provided by author Steve Tighe. The author mentions in his introduction that he feels this is the book he needed to read on his first day as foresight manager at Foster's. "As I sat at

Building a Data Platform on AWS from Scratch: Part 1

The CIO of a Chicago-based global consultancy contacted SPR to build out a data platform. While the core platform was to be built by the corporate IT organization run by the CIO, the goal was that this platform would be used by other organizations outside corporate IT as well to

Media Query Source: Part 24

The responses I provided to a media outlet on January 30, 2020: Media: We hear a lot about data transformation these days and most companies are going through some stage of data transformation. Since data tends to be the domain of the IT group, it can be easy to assume

Personal Reading List: 1Q2020

My personal reading list for January, February, and March 2020. Color Key: Special Notes, Completed Reading. Updated throughout the Quarter. At Bat (Schnell) How to Make Mistakes in Python, by Mike Pirnat, O'Reilly, 2015. Copy provided by O'Reilly. The Model Thinker: What You Need to Know

Media Query Source: Part 23

The responses I provided to a media outlet on December 18, 2019: Media: Software changes so rapidly, but do developers think about the implications of this in the back of their mind while developing? For example, do they lose motivation when they think about how whatever they're developing

Media Query Source: Part 22 - TechTarget (US digital magazine); AWS data lake & data warehouse options for the cloud

* TechTarget (US digital magazine) * AWS data lake & data warehouse options * Lake Formation, Glue & Redshift (Spectrum) * Use cases should drive product adoption My responses ended up being included in an article at TechTarget (November 14, 2019). Extent of verbatim quote highlighted in orange, paraphrased quote highlighted in gray. Above

Media Query Source: Part 21

The responses I provided to a media outlet on December 4, 2019: Media: Technical debt is the added cost that's incurred when software is developed quickly with little or no regard to quality and must be reworked to reach its intended objectives. Looking for experts who can answer