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#DataOops podcast artwork

technology

#DataOops

technology · FR

Apple PodcastsWebsite

About this Podcast:

DataOops : savoir-faire et compétences réunies autour des sujets données et DevOps.On y parle : - databases & performances : techniques d'optimisations, bonnes et mauvaises pratiques, détections des problèmes et même de hardware et de cloud - modélisations des données : les différents types de modélisation et leur spécificités.- devops : des bases du devops aux éléments les plus pointus et bien sur les liens entre les 3 domainesRetrouves nous sur https://www.dataoops.org pour plus de détails.

Pitch Analysis

Required Pod Score for this podcast. PitchCentric checks your profile against host openness, topical fit, and audience signals before you generate a pitch.

Contact path

Public web form

Booking probability

31%

Guest openness

Selective

80/100
Required Score

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Questions about #DataOops

What is #DataOops about?

DataOops: savoir-faire et compétences réunies autour des sujets données et DevOps.

What has #DataOops covered recently?

Recent episodes include "Episode 58: SQL Server 2025 et AI_GENERATE_EMBEDDINGS / MCP PowerBI" (7 December 2025, 55 minutes), "Episode 57: FastTransfer, DuckLake et quelques Oops" (1 October 2025, 70 minutes), and "Episode 56: MongoDB" (12 July 2025, 61 minutes).

How often does #DataOops publish?

#DataOops publishes roughly every few months, with episodes averaging 59 minutes across 60 episodes.

How hard is it to get booked on #DataOops?

Booking probability for #DataOops is 31%, and the host is rated Selective on guests. #DataOops requires a Pod Score of 80 or higher. #DataOops's contact route on record: public web form.

Who should pitch #DataOops?

The strongest fits for #DataOops are IT Services & Software Development. #DataOops has a technology audience.

About the host

#DataOops is a technology podcast with 60 episodes published.

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Recent episodes

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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Recent guests

Recent guests on #DataOops. Study who booked and why before you pitch.

F

Frederic Comte

INSEE

S

Sylvain Lesage

Hugging Face

F

Frédéric Favelin

MongoDB

Best industries to pitch #DataOops for

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