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Top 8 Data Engineering Podcasts

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Data engineering is not something for everyone. But when you’re involved in the field, it does feel like most of the tech podcasts online don’t scratch that itch. So, we decided to do our best to find the best data engineering podcasts for those who want to combine content with entertainment.

1. OxyCast

OxyCast is a tech and engineering podcast discussing all things scraping, crawling, parsing, and analysis. They’re mostly focused on how to optimize automated data collection and turn it into an easy-to-understand format for further data analysis. 

Each episode is extremely content-heavy, allowing professionals to take away many practical lessons that can be applied in their daily work. As such, the podcast is intended for the data engineer and developer who wants to build up the pre-analysis processes and streams through the application of the cutting-edge best practices.

2. Data Engineering Podcast

Data Engineering Podcast is, well, a data engineering podcast that’s heavily focused on the tools, techniques, software, solutions, and many other things. There’s comparatively little entertainment value when compared to most podcasts as they mostly focus on the important bits of day-to-day work.

As such, the Data Engineering Podcast is intended for those who work as data engineers and not many other people. The professionals, however, will be able to find all the things data engineering experts need to stay ahead of the curve.

3. Plumbers of Data Science

Plumbers of Data Science is a data engineering and science podcast that focuses on how-to, tutorials, and the nitty gritty of the work. Some episodes cover higher level topics that are tailored to a slightly wider audience.

The podcast itself, however, is definitely best suited for the up-and-coming data engineers and scientists. Most of the advice will be best used by those just starting out in the field or those who want to brush up on the basics of data engineering.

4. AnalyticsPowerHour

AnalyticsPowerHour is a data engineering and analytics podcast that’s structured as a round-table discussion after an event, which involves a lot of back-and-forths, fun banter, and valuable content all combined into one. As such, the episodes have the widest variety of topics out of all the data engineering shows listed.

In turn, all these discussions will be valuable to both the data engineer and the one simply interested in the field. AnalyticsPowerHour is perfect for those who want to delve deeper into data engineering with the desire to also spend the allotted time entertained.

5. Data Futurology

As the name suggests, Data Futurology is a data engineering show that focuses primarily on the future of the field. They, however, often narrow down the focus to artificial intelligence leadership as the authors believe that’s where the future of data engineering lies.

Most of the episodes, as such, will focus on the practical applications and lessons learned from implementing machine learning and artificial intelligence. Data Futurology is best listened to by an experienced data engineer and scientist that wants to bring their profession to the next level.

6. Not So Standard Deviations

Not So Standard Deviations is a podcast for data engineers that are more invested in the theoretical underpinnings of the field and those that want to get some industry news. A lot of the episodes revolve around fairly basic topics in which the authors weave in their personal experiences.

As a result, Not So Standard Deviations combines entertainment, fun, and some valuable content effortlessly. It’s best listened by those who want to brush up on some data engineering fundamentals without having to painstakingly pay attention to every second of the show.

7. More or Less: Behind the Stats

One of the few data engineering podcasts that are incredibly short. The goal of Behind the Stats is to explain statistics concepts and help listeners make sense of the entire field. Each episode is up to 10 minutes long, allowing for a few snappy listens for when you need to brush up on statistics.

Most of the benefits will be derived by the data engineering newcomers. Seasoned veterans will likely know all of the concepts explained in the show, which would provide little value. It may, however, be beneficial for people who are coming into the field from other areas such as software engineering.

8. Data Viz Today

Out of all the data engineering podcasts, Data Viz Today is the only one dedicated to the visualization part of the domain. Most of the episodes focus on how to present data, especially to those who aren’t data engineering experts and might get confused if a lot of difficult concepts are involved.

Data Viz Today is best listened by the analyst who has to present findings to upper management. Although all data engineering and science professionals would find great benefit in the podcast due to the incredibly important nature of presentation and visualization.

Stanley Gatero is a writer at Disrupt Magazine. He covers topics concerning technology, entrepreneurship, news, and sports. He is an avid traveler.

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