Awesome Data Engineering
Section: Podcasts · Interviews with AI and data infrastructure leaders on building production systems.
FreshScore 87
Entry
Chain of Thought
Appears in 4 awesome lists
AI infrastructure and developer tools, with interviews from engineering leaders and technical founders.
Found in these lists
AWESOME DATA SCIENCE
Section: Podcasts
FreshScore 92
Practicing
Section: Podcasts · AI infrastructure and developer tools, with interviews from engineering leaders and technical founders.
FreshScore 82
Awesome MLOps
Section: Podcasts
FreshScore 80
Often listed next to it
Data Engineering Podcast
Description: A show that digs deep into databases, big data pipelines, data governance, data collection, ETL, building effective data teams, and all of the other challenges faced by technology professionals working on data management.; Frequency: Once a week; Host: Tobias Macey; Runtime: 30-60…
In 5 listsDetails
DataFramed
Description: Interviews with industry experts on what data science is, what problems it tries to solve and what it looks like in practice.; Host: Hugo Bowne-Anderson @hugobowne; Frequency: Once a week; Runtime: 50 - 60 mins
In 3 lists
Soft Skills Engineering
(iTunes | Overcast | Android); Description: It takes more than great code to be a great engineer. Soft Skills Engineering is a weekly question and answer podcast where software developer hosts answer questions about all of the non-technical things that go along with being a software developer.;…
In 4 lists
Superdatascience
Description: Podcast that interviews various people in the data science industry.; Host: Chris Benson @chrisbenson, Daniel Whitenack @dwhitena; Frequency: Once a week; Runtime: Alternates between ~5 and ~60 mins
In 2 lists
In 2 lists
Data Skeptic
Description: High level concepts in data science, and longer interview with researchers and practitioners; Host: Kyle Polich @DataSkeptic; Frequency: Once a week; Runtime: 15 - 45 mins, regularly ~25 mins
In 2 lists
The Analytics Engineering Podcast
How analytics engineers build and maintain data pipelines at scale.
In 2 lists
Software Engineering Daily
Daily interviews about technical software topics, including data infrastructure.
In 2 lists