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Erik Gfesser

📍 Greater Chicago Area

Personal Reading List: 4Q2019

My personal reading list for October, November, and December 2019. 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. What is Augmented Analytics?: Powering Your

Media Query Source: Part 19 - AngelList Talent (US digital magazine); Scrum: A primer on adaptive techniques

* AnglelList Talent (US digital magazine) * Scrum methodology primer * Products evolve, so no deadlines or rigid plans * Story points relative to specific dev team My responses ended up being included in an article at AngelList (November 6, 2019). Extent of verbatim quote highlighted in orange, paraphrased quote highlighted in gray. Above

New Book Review: Evolving Data Infrastructure

New book review for Evolving Data Infrastructure: Tools and Best Practices for Advanced Analytics and AI, by Ben Lorica and Paco Nathan, O'Reilly, 2019: Copy provided by O'Reilly. This text is all about O'Reilly's investigation into understanding how firms are making use

Media Query Source: Part 18

The responses I provided to a media outlet on August 30, 2019: Media: Hadoop hasn't lived up to its early promise, and the fire sale of MapR to HPE earlier this month is the latest sign of that. What's next, then, for big data? Can Hadoop

New Book Review: Machine Learning at Enterprise Scale

New book review for Machine Learning at Enterprise Scale: How Real Practitioners Handle Six Common Challenges, by Piero Cinquegrana and Matheen Raza, O'Reilly, 2019, reposted here: Copy provided by Qubole. This freely available O'Reilly text discusses six common challenges the authors have identified with respect to

Implementing Databricks for Data Science and Engineering Teams: Part 2

This post is the second part of a soon to be published case study I wrote about a recent client project implementing Azure Databricks with my team for data science and engineering teams (the first part can be found here). The analytics arm of a large midwestern U.S. insurance

Personal Reading List: 3Q2019

My personal reading list for July, August, and September 2019. Color Key: Special Notes, Completed Reading. Updated throughout the Quarter. At Bat (Schnell) Disruptive Analytics: Charting Your Strategy for Next-Generation Business Analytics, by Thomas W. Dinsmore, Apress, 2016. The Model Thinker: What You Need to Know to Make Data Work

Amazon re:MARS 2019 Day 2-4 (June 5-7, 2019)

Amazon re:MARS 2019 Aria Resort & Casino Day 2-4 (June 5-7, 2019) From the promotional materials: KEY2: Opening remarks & Innovation Spotlights (Day 2 / 9:00am – 11:30am) Amazon keynote led by Jeff Wilke, CEO of Worldwide Consumer. Keynote to include Innovation Spotlight talks by: 1) Tom Soderstrom, IT

Amazon re:MARS 2019 Day 1 (June 4, 2019)

Amazon re:MARS 2019 Aria Resort & Casino Day 1 (June 4, 2019) From the promotional materials: KEY1: Opening remarks & Innovation Spotlights (5:30pm – 6:30pm) Opening remarks by Dave Limp, SVP Amazon Devices and Services. Keynote to include innovation spotlights talks by (1) Marc Raibert, CEO, Boston Dynamics,

Implementing Databricks for Data Science and Engineering Teams: Part 1

A case study I wrote about a recent client project implementing Azure Databricks for data science and engineering teams was recently published (April 9, 2019). This write-up is the first of a two part series covering the first half of a client engagement with my team. (The original post can