What Is A Data Pipeline - Data Engineering 101 (FT. Alexey from

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  • Опубликовано: 23 янв 2025

Комментарии • 30

  • @SeattleDataGuy
    @SeattleDataGuy  2 года назад +2

    If you guys want to learn more about data engineering, then sign up for my newsletter here seattledataguy.substack.com/ or join the discord here discord.gg/2yRJq7Eg3k

  • @sng9x
    @sng9x 2 года назад +5

    Great content, simple enough to understand and reflect on as to learn how the same knowledge can be interpreted by different people.

  • @ayodejibabalola565
    @ayodejibabalola565 5 месяцев назад

    love the outro music! thanks man!

  • @Cybersader
    @Cybersader Год назад +2

    I do security log management using Cribl and everything youve said is everythinf ive been thinking but in a different language 😂 Great to hear from someone else. We dont have data engineers where I work. Just me

    • @SeattleDataGuy
      @SeattleDataGuy  Год назад

      Sometimes that's how it goes. One person doing all of it. Good luck!

  • @NaveenKumar-cn2pc
    @NaveenKumar-cn2pc 2 года назад +9

    Wow As an Informatica ETL developer myself planning to switch to Data Engineering I was just trying to understand this concept of Data pipeline, this is as much more simplified explaination although would request you a video on what kind of pipeline would you suggest based on different business scenario that you mentioned as we have some ETL or I say ELT tool build native to cloud such as Matillion ,IICS or manually coding the entire thing.

    • @SeattleDataGuy
      @SeattleDataGuy  2 года назад

      Glad to hear this was easy to understand! That is my goal. I will put that video on the list

  • @x5HighDesert
    @x5HighDesert 2 года назад +3

    Good job on mentioning that there are too many tools. I’m a Business Systems Analyst right now who is trying to learn data engineering and there seems to be too much to learn.

  • @karan7843
    @karan7843 2 года назад +4

    Good to see Alexy🙂

    • @SeattleDataGuy
      @SeattleDataGuy  2 года назад

      yes I loved that he said yes to joining in!

  • @alphar85
    @alphar85 2 года назад +1

    I am here lookong to switch from analytics and digital lead to data engineer as i see myself doing it alongside software engineering (although they might sound different). So as i lean more towards SQL rather than Python. I got trained on SQL and SSIS and i never knew that was part of data engineering. In SSIS, you really learn a lot about the ETL process. This video really taught me to revisit the SSIS as there is a learn in the system and plus it is MS product.

    • @SeattleDataGuy
      @SeattleDataGuy  2 года назад

      Awesome! I would still say learning some python is a good idea!

    • @alphar85
      @alphar85 2 года назад +1

      @@SeattleDataGuy thank you very much mate

    • @SeattleDataGuy
      @SeattleDataGuy  2 года назад

      @@alphar85 You're welcome!

  • @arahso
    @arahso 2 года назад +2

    A lot of this content is geared for beginners and for folks trying to break into the role. What about advanced topics or in-depth technical debriefs?

    • @SeattleDataGuy
      @SeattleDataGuy  2 года назад

      What are some specific topics you are looking into?

  • @bryanneremita2860
    @bryanneremita2860 2 года назад +4

    Being someone who wants to migrate from a data analytics role into a data engineering role, what tools would you guys reccommend I start out with ? From the ETL/ELT operation to data warehousing and maybe post that some work on cloud tech. Any help would be appreciated.

    • @SeattleDataGuy
      @SeattleDataGuy  2 года назад +4

      If your SQL, Python and data warehousing is solid. Then you can start working on developing some basic pipelines and building core tables in something like snowflake, bigquery or databricks.

    • @bryanneremita2860
      @bryanneremita2860 2 года назад

      @@SeattleDataGuy thanks for the quick response. My sql and python is alright but i need to get Into warehousing and etl. Any tips on that?

    • @SeattleDataGuy
      @SeattleDataGuy  2 года назад +2

      @@bryanneremita2860 Have you read kimball and inmon's books? Great for understanding warehousing as well as high level etl concepts.
      Oh and the fundamentals of data engineering too www.oreilly.com/library/view/fundamentals-of-data/9781098108298/

    • @bryanneremita2860
      @bryanneremita2860 2 года назад

      @@SeattleDataGuy thanks a lot. This will be helpful.

  • @bettatheexplorer1480
    @bettatheexplorer1480 2 года назад +2

    Hi,
    Currently doing etl pipelines with airflow on gcp. Do I need to study about starflakes,snowflakes schema?

  • @Anant_Maheshwari
    @Anant_Maheshwari 2 года назад +1

    apart from being excellent in sql what else one should know if a datawarehouse guy wants to become a data guy, not the seattle one but an engineer one.

  • @jw8573speed
    @jw8573speed Год назад +2

    Ya, I think I look like a data plumber than a data engineer

  • @ef7496
    @ef7496 2 месяца назад +1

    I didn’t understand 💩