I have been published and covered extensively by both mainstream media and technology publications.

 Select Million Monkeys Articles


Wall Street JournalFox NewsThe RegisterReno Gazette JournalThe Toronto StarThe Random FactUbuntu Cloud

Articles (not full list):

BBCCNNSlashdot (Again), GizmodoEngadgetArsTecnicaWiredThe Washington PostThe Huffington Post


NPR, Radio New Zealand,  Australian Broadcasting Company, CBS Radio



Articles About Me/Projects

NFL Play By Play in: TechCrunch, CMS Wire, Datanami

Reno’s Software Community

Creators Project on Million Monkeys

Meet the Instructor


Strata+Hadoop World (NYC 2012SJC 2015, NYC 2015SJC 2016, NYC 2016, SCJ 2017, NYC 2017, Singapore 2017, SJC 2018, London 2018, NYC 2018, SF 2019)

Google Next (2017)

HBaseCon (video)


GOTO Chicago (2017)

QCon Sao Paulo

TWDI (Austin, Boston)

Big Data Congress

Infinite Conf


Data Day Texas (Data Engineering Keynote 2019)

Microsoft Build 2019

Big Things Madrid

Flink Forward Berlin

Pulsar Summit


Kohar, Richard. Basic Discrete Mathematics: Logic, Set Theory, & Probability. New Jersey: World Scientific, 2016. Print.

Books and Academic Papers

Anderson, Jesse. Data Teams: A Unified Management Model for Successful Data-Focused Teams, 2020

Agogo, D. & Anderson, J. (2019). Teaching Tip: “The Data Shuffle”: Using Playing Cards to Illustrate Data Management Concepts to a Broad Audience. Journal of Information Systems Education, 30(2), 84-96.

Anderson, Jesse. Data Engineering Teams, n.d. https://www.bigdatainstitute.io/data-engineering-teams-book/.

Anderson, Jesse. The Ultimate Guide to Switching Careers to Big Data, n.d. https://www.bigdatainstitute.io/data-engineering-teams-book/.

Franks, Bill & Anderson, Jesse, et al. 97 Things About Ethics Everyone in Data Science Should Know: Collective Wisdom from the Experts, 2020

Fournier, Camille & Anderson, Jesse, et al. 97 Things Every Engineering Manager Should Know: Collective Wisdom from the Experts, 2020

Anunciação, Heverton & Anderson, Jesse, et al. Data Science and Business Intelligence: Advice from important Data Scientists around the World, 2020

Publications/Articles/Guest Posts

Data Engineering Teams (Big Data Institute)

Creating Big Data Solutions with Impala (O’Reilly)

Data Engineering Teams (Big Data Institute)

Processing Big Data With MapReduce (Pragmatic Programmers)

The Cloud and Amazon Web Services (Pragmatic Programmers)

Why a data scientist is not a data engineer (O’Reilly)

Data engineers vs data scientists (O’Reilly)

How to choose a cloud provider (O’Reilly)

What is a Productive Data Engineering Team? (O’Reilly)

On Complexity in Big Data (O’Reilly)

Future-Proof Your Big Data Processing with Apache Beam (The New Stack)

Strata+Hadoop World and Beam (Apache Beam)

Future-proof and scale-proof your code (O’Reilly Radar)

Is my developer team ready for big data? (O’Reilly Radar)

What If The Next Hadoop Doesn’t Use Java? (The New Stack)

The Different Types of Programmers (Inside BigData)

Walking Then Running (Inside BigData)

The Secret to Project Success (Cloudera VISION)

Switching Careers to Programming (Inside BigData)

What Sudoku Can Teach Us About Learning to Program (Inside BigData)

Hadoop 101: The Most Important Terms, Explained (softwareadvice.com)

Insights from the NFL’s Play-by-Play Dataset: What business leaders can learn from football (GigaOM)

Data Insights from the NFL’s ‘Play by Play’ Dataset (Cloudera VISION)

How to Hire Your First Software Engineer (CEO.com)

Hadoop Ecosystem (NetworkWorld)

HBase Thrift Interface Series (blog.cloudera.com)

A Few Good Use Cases (PragPub)

Big Problems…And Data Wasn’t the Only One (PragPub)

Augmenting Unstructured Data (programming.oreilly.com)

HBase REST Interface Series (blog.cloudera.com)

Understanding MapReduce via Boggle (blog.cloudera.com)

Using Eclipse with the QuickStart VM (blog.cloudera.com)

I’ve Been A Bad Feeder (Startup Communities/StartRev.com)

Cloudera Manager Training Series (cloudera.com)

The Cloud Saves Money  (Pragmatic Magazine)

Dealing With the Politics of a Cloud Move  (Pragmatic Magazine)

A Million Monkeys and Shakespeare (Significance)

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