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Erik Gfesser

📍 Greater Chicago Area

Liquibase in the Enterprise: Part 7

As discussed in part 5 of this series (and the part 6 follow-up), the co-founder and CTO of a start-up named Datical asked for my input back in 2012 during the market validation process of a new product called Datical DB. This past week, I was excited to hear that

New Book Review: "The Hadoop Performance Myth"

New book review for The Hadoop Performance Myth: Why Best Practices Lead to Underutilized Clusters, and Which New Tools Can Help, by Courtney Webster, O'Reilly, 2016, reposted here: Technologists have been complaining about Hadoop performance for years. This small, 15-page text explores the Hadoop performance "myth"

What is "Full-Stack"?

What is "full-stack" development? What does a "full-stack" developer do? Typically, developers who feel that they can effectively program across all layers of an application refer to themselves as "full-stack". While I've heard this explanation on numerous occasions, I'm reminded

New Book Review: "The JHipster Mini-Book"

New book review for The JHipster Mini-Book, by Matt Raible, C4Media (Publisher of InfoQ.com), 2015, reposted here: According to the author, the purpose of this book is to further the knowledge of JHipster, as well as to show Java developers that they can be hip again by leveraging AngularJS,

Personal Reading List: 2Q2016

My personal reading list for April, May, and June 2016. Color Key: Special Notes, Completed Reading. Updated throughout the Quarter. At Bat (Schnell) Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst, by Dean Abbott, Wiley, 2014. Copy provided by Amazon. Common Errors in Statistics and How to

Past Book Review (July 6, 2007): "Balancing Agility and Discipline"

Past book review (i.e. posted prior to starting this blog) for Balancing Agility and Discipline: A Guide for the Perplexed, by Barry Boehm and Richard Turner, Addison-Wesley/Pearson Education, 2003, reposted here: Great text. I really enjoyed reading this book by Boehm and Turner. Especially enjoyable was reading Grady

Counterpoint: "20 Questions to Detect Fake Data Scientists"

Update: this counterpoint was revisited for Erik on Software anniversary post #500 (January 28, 2023). Just recently, links to an essay entitled "20 Questions to Detect Fake Data Scientists" was making the rounds in some of the forums that I frequent. And following up the 20 questions suggested

New Book Review: "Building Real-Time Data Pipelines"

New book review for Building Real-Time Data Pipelines: Unifying Applications and Analytics with In-Memory Architectures, by Conor Doherty, Gary Orenstein, Steven Camina, and Kevin White, O'Reilly, 2015, reposted here: Most readers will already likely be aware of the benefits of soft real-time data, but the authors provide a

Personal Reading List: 1Q2016

My personal reading list for January, February, and March 2016. Color Key: Special Notes, Completed Reading. Updated throughout the Quarter. At Bat (Schnell) Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst, by Dean Abbott, Wiley, 2014. Copy provided by Amazon. Common Errors in Statistics and How to

New Book Review: "Time Series Databases"

New book review for Time Series Databases: New Ways to Store and Access Data, by Ted Dunning and Ellen Friedman, O'Reilly, 2015, reposted here: This book specifically centers around time series databases (TSDB). Although collecting and analyzing time series data is not new, as the authors explain, the