Joe Crobak's guest appearances

Joe Crobak

Data Engineering Podcast

The Local Maximum

Dennis Crowley

Jack Dorsey

Chris Messina

Mark Ryan

Nikita Shamgunov

Daniele Quercia

Christopher Ryan

Andrew Gelman

Peter McCormack

Emily Miller

Peter Bull

Scott Berkun

Naomi Brockwell

Jeffrey Tucker

Patrick Hunt

OwlTail

Now with extra mappers and reducers!I talk to Joe Crobak of the Data Engineering Weekly newsletter about data engineering, and it's importance in modern software projects. We cover:- The definition of data engineering- Hadoop, MapReduce, and Spark- How data engineering has evolved over the last decade.- Joe's experiences working in government vs. startups. The US Digital service, and the paperwork reduction act.Remember to check out the new website at localmaxradio.com, and Joe's site at dataengweekly.com.

Now with extra mappers and reducers!<br><br>I talk to Joe Crobak of the Data Engineering Weekly newsletter about data engineering, and it's importance in modern software projects. We cover:<br>- The definition of data engineering<br>- Hadoop, MapReduce, and Spark<br>- How data engineering has evolved over the last decade.<br>- Joe's experiences working in government vs. startups. The US Digital service, and the paperwork reduction act.<br><br>Remember to check out the new website at <a href="http://localmaxradio.com" rel="nofollow" target="_blank">localmaxradio.com</a>, and Joe's site at <a href="http://dataengweekly.com" rel="nofollow" target="_blank">dataengweekly.com</a>.

Ep. 34 - Data Engineering with Joe Crobak, Foundations of Smart Software

Summary The rate of change in the data engineering industry is alternately exciting and exhausting. Joe Crobak found his way into the work of data management by accident as so many of us do. After being engrossed with researching the details of distributed systems and big data management for his work he began sharing his findings with friends. This led to his creation of the Hadoop Weekly newsletter, which he recently rebranded as the Data Engineering Weekly newsletter. In this episode he discusses his experiences working as a data engineer in industry and at the USDS, his motivations and methods for creating a newsleteter, and the insights that he has gleaned from it. Preamble  Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode. With private networking, shared block storage, node balancers, and a 40Gbit network, all controlled by a brand new API you’ve got everything you need to run a bullet-proof data platform. Go to dataengineeringpodcast.com/linode to get a $20 credit and launch a new server in under a minute. Go to dataengineeringpodcast.com to subscribe to the show, sign up for the newsletter, read the show notes, and get in touch. Your host is Tobias Macey and today I’m interviewing Joe Crobak about his work maintaining the Data Engineering Weekly newsletter, and the challenges of keeping up with the data engineering industry.  Interview  Introduction How did you get involved in the area of data management? What are some of the projects that you have been involved in that were most personally fulfilling?  As an engineer at the USDS working on the healthcare.gov and medicare systems, what were some of the approaches that you used to manage sensitive data? Healthcare.gov has a storied history, how did the systems for processing and managing the data get architected to handle the amount of load that it was subjected to?   What was your motivation for starting a newsletter about the Hadoop space?  Can you speak to your reasoning for the recent rebranding of the newsletter?   How much of the content that you surface in your newsletter is found during your day-to-day work, versus explicitly searching for it? After over 5 years of following the trends in data analytics and data infrastructure what are some of the most interesting or surprising developments?  What have you found to be the fundamental skills or areas of experience that have maintained relevance as new technologies in data engineering have emerged?   What is your workflow for finding and curating the content that goes into your newsletter? What is your personal algorithm for filtering which articles, tools, or commentary gets added to the final newsletter? How has your experience managing the newsletter influenced your areas of focus in your work and vice-versa? What are your plans going forward?  Contact Info  Data Eng Weekly Email Twitter – @joecrobak Twitter – @dataengweekly  Parting Question  From your perspective, what is the biggest gap in the tooling or technology for data management today?  Links  USDS National Labs Cray Amazon EMR (Elastic Map-Reduce) Recommendation Engine Netflix Prize Hadoop Cloudera Puppet healthcare.gov Medicare Quality Payment Program HIPAA NIST National Institute of Standards and Technology PII (Personally Identifiable Information) Threat Modeling Apache JBoss Apache Web Server MarkLogic JMS (Java Message Service) Load Balancer COBOL Hadoop Weekly Data Engineering Weekly Foursquare NiFi Kubernetes Spark Flink Stream Processing DataStax RSS The Flavors of Data Science and Engineering CQRS Change Data Capture Jay Kreps  The intro and outro music is from The Hug by The Freak Fandango Orchestra  / CC BY-SASupport Data Engineering Podcast

<h2>Summary</h2> <p>The rate of change in the data engineering industry is alternately exciting and exhausting. Joe Crobak found his way into the work of data management by accident as so many of us do. After being engrossed with researching the details of distributed systems and big data management for his work he began sharing his findings with friends. This led to his creation of the Hadoop Weekly newsletter, which he recently rebranded as the Data Engineering Weekly newsletter. In this episode he discusses his experiences working as a data engineer in industry and at the USDS, his motivations and methods for creating a newsleteter, and the insights that he has gleaned from it.</p> <h2>Preamble</h2> <ul> <li>Hello and welcome to the Data Engineering Podcast, the show about modern data management</li> <li>When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode. With private networking, shared block storage, node balancers, and a 40Gbit network, all controlled by a brand new API you’ve got everything you need to run a bullet-proof data platform. Go to <a href="https://www.dataengineeringpodcast.com/linode?utm_source=rss&amp;utm_medium=rss" rel="nofollow" target="_blank">dataengineeringpodcast.com/linode</a> to get a $20 credit and launch a new server in under a minute.</li> <li>Go to <a href="https://www.dataengineeringpodcast.com?utm_source=rss&amp;utm_medium=rss" rel="nofollow" target="_blank">dataengineeringpodcast.com</a> to subscribe to the show, sign up for the newsletter, read the show notes, and get in touch.</li> <li>Your host is Tobias Macey and today I’m interviewing Joe Crobak about his work maintaining the Data Engineering Weekly newsletter, and the challenges of keeping up with the data engineering industry.</li> </ul> <h2>Interview</h2> <ul> <li>Introduction</li> <li>How did you get involved in the area of data management?</li> <li>What are some of the projects that you have been involved in that were most personally fulfilling? <ul> <li>As an engineer at the USDS working on the <a href="http://healthcare.gov" rel="nofollow" target="_blank">healthcare.gov</a> and medicare systems, what were some of the approaches that you used to manage sensitive data?</li> <li><a href="http://Healthcare.gov" rel="nofollow" target="_blank">Healthcare.gov</a> has a storied history, how did the systems for processing and managing the data get architected to handle the amount of load that it was subjected to?</li> </ul> <p></p></li> <li>What was your motivation for starting a newsletter about the Hadoop space?<p></p> <ul> <li>Can you speak to your reasoning for the recent rebranding of the newsletter?</li> </ul> <p></p></li> <li>How much of the content that you surface in your newsletter is found during your day-to-day work, versus explicitly searching for it?</li> <li>After over 5 years of following the trends in data analytics and data infrastructure what are some of the most interesting or surprising developments?<p></p> <ul> <li>What have you found to be the fundamental skills or areas of experience that have maintained relevance as new technologies in data engineering have emerged?</li> </ul> <p></p></li> <li>What is your workflow for finding and curating the content that goes into your newsletter?</li> <li>What is your personal algorithm for filtering which articles, tools, or commentary gets added to the final newsletter?</li> <li>How has your experience managing the newsletter influenced your areas of focus in your work and vice-versa?</li> <li>What are your plans going forward?</li> </ul><p></p> <h2>Contact Info</h2> <ul> <li><a href="https://www.dataengweekly.com?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Data Eng Weekly</a></li> <li><a href="info@dataengweekly.com" rel="nofollow" target="_blank">Email</a></li> <li><a href="https://twitter.com/joecrobak?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Twitter – @joecrobak</a></li> <li><a href="https://twitter.com/dataengweekly?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Twitter – @dataengweekly</a></li> </ul> <h2>Parting Question</h2> <ul> <li>From your perspective, what is the biggest gap in the tooling or technology for data management today?</li> </ul> <h2>Links</h2> <ul> <li><a href="https://www.usds.gov?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">USDS</a></li> <li><a href="http://www.sandia.gov?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">National Labs</a></li> <li><a href="https://en.wikipedia.org/wiki/Cray?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Cray</a></li> <li><a href="https://aws.amazon.com/emr/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Amazon EMR (Elastic Map-Reduce)</a></li> <li><a href="https://en.wikipedia.org/wiki/Recommender_system?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Recommendation Engine</a></li> <li><a href="https://en.wikipedia.org/wiki/Netflix_Prize?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Netflix Prize</a></li> <li><a href="http://hadoop.apache.org/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Hadoop</a></li> <li><a href="https://www.cloudera.com/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Cloudera</a></li> <li><a href="https://puppet.com/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Puppet</a></li> <li><a href="https://www.healthcare.gov/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">healthcare.gov</a></li> <li><a href="https://www.medicare.gov/sign-up-change-plans/decide-how-to-get-medicare/whats-medicare/what-is-medicare.html?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Medicare</a></li> <li><a href="https://qpp.cms.gov/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Quality Payment Program</a></li> <li><a href="https://www.hhs.gov/hipaa/for-professionals/security/laws-regulations/index.html?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">HIPAA</a></li> <li><a href="https://www.nist.gov/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">NIST National Institute of Standards and Technology</a></li> <li><a href="https://en.wikipedia.org/wiki/Personally_identifiable_information?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">PII (Personally Identifiable Information)</a></li> <li><a href="https://www.owasp.org/index.php/Application_Threat_Modeling?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Threat Modeling</a></li> <li><a href="https://developers.redhat.com/products/webserver/overview/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Apache JBoss</a></li> <li><a href="http://httpd.apache.org/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Apache Web Server</a></li> <li><a href="https://www.marklogic.com/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">MarkLogic</a></li> <li><a href="https://en.wikipedia.org/wiki/Java_Message_Service?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">JMS (Java Message Service)</a></li> <li><a href="https://en.wikipedia.org/wiki/Load_balancing_(computing)?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Load Balancer</a></li> <li><a href="https://en.wikipedia.org/wiki/COBOL?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">COBOL</a></li> <li><a href="https://hadoopweekly.com/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Hadoop Weekly</a></li> <li><a href="https://dataengweekly.com/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Data Engineering Weekly</a></li> <li><a href="https://foursquare.com/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Foursquare</a></li> <li><a href="http://nifi.apache.org/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">NiFi</a></li> <li><a href="https://kubernetes.io/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Kubernetes</a></li> <li><a href="http://spark.apache.org/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Spark</a></li> <li><a href="http://flink.apache.org/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Flink</a></li> <li><a href="https://en.wikipedia.org/wiki/Stream_processing?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Stream Processing</a></li> <li><a href="https://www.datastax.com/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">DataStax</a></li> <li><a href="https://en.wikipedia.org/wiki/RSS?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">RSS</a></li> <li><a href="https://mindfulmachines.io/blog/2018/3/17/the-flavors-of-data-science-and-data-engineering?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">The Flavors of Data Science and Engineering</a></li> <li><a href="https://martinfowler.com/bliki/CQRS.html?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">CQRS</a></li> <li><a href="https://en.wikipedia.org/wiki/Change_data_capture?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Change Data Capture</a></li> <li><a href="https://www.linkedin.com/in/jaykreps/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Jay Kreps</a></li> </ul> <p>The intro and outro music is from <a href="http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">The Hug</a> by <a href="http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">The Freak Fandango Orchestra</a>  / <a href="http://creativecommons.org/licenses/by-sa/3.0/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">CC BY-SA</a></p><p><a href="https://dataengineering.supercast.com/" rel="payment nofollow" target="_blank">Support Data Engineering Podcast</a></p>

Data Engineering Weekly with Joe Crobak - Episode 27