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S21:E4 - What is SQL and why you should learn it (Sia Seko)
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Manage episode 339318362 series 1250448
In this episode, we talk about SQL and why you should learn it with Sia Seko, data engineer at Spotify. Sia talks about what SQL is, what makes SQL different from other technical languages, and what it is best at.
Show Links
- Code Comments (sponsor)
- IRL (sponsor)
- SQL
- Python
- LinkedIn Learning
- Udemy
- Apache Airflow
- Power Query
- freeCodeCamp
- W3Schools
- Correlation One
Sia Seko
Sia Seko is a senior data analytics professional with experience as a data ops and pipeline management lead; including data cleaning, wrangling, analysis, visualization, and storytelling. With extensive teaching experience and a love of learning, sharing, and writing, she's interested in working on and finding solutions to challenging data engineering problems with industry leaders.
357 tập
Series đã xóa ("Feed không hoạt động" status)
When? This feed was archived on August 16, 2023 15:23 (). Last successful fetch was on November 03, 2023 04:54 ()
Why? Feed không hoạt động status. Server của chúng tôi không thể lấy được feed hoạt động của podcast trong một khoảng thời gian.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 339318362 series 1250448
In this episode, we talk about SQL and why you should learn it with Sia Seko, data engineer at Spotify. Sia talks about what SQL is, what makes SQL different from other technical languages, and what it is best at.
Show Links
- Code Comments (sponsor)
- IRL (sponsor)
- SQL
- Python
- LinkedIn Learning
- Udemy
- Apache Airflow
- Power Query
- freeCodeCamp
- W3Schools
- Correlation One
Sia Seko
Sia Seko is a senior data analytics professional with experience as a data ops and pipeline management lead; including data cleaning, wrangling, analysis, visualization, and storytelling. With extensive teaching experience and a love of learning, sharing, and writing, she's interested in working on and finding solutions to challenging data engineering problems with industry leaders.
357 tập
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