Data Engineering with Databricks

Поделиться
HTML-код
  • Опубликовано: 25 ноя 2024

Комментарии • 17

  • @Analyticsvidhya
    @Analyticsvidhya  3 месяца назад

    Book FREE 1:1 Mentorship for Gen AI / Data Science
    Link 🔗 bit.ly/3wlIIGz

  • @Ajjeshh
    @Ajjeshh Год назад +1

    Amazing content .Clean & Crisp .👌👌

  • @sripadan
    @sripadan 9 месяцев назад

    Clean and crisp 👍

  • @umacs6614
    @umacs6614 9 месяцев назад

    Good learning. Thanks

  • @maniratnamgare
    @maniratnamgare 10 месяцев назад

    Informative Video..Thanks

  • @meetpatel.47
    @meetpatel.47 10 месяцев назад

    Best video,keep it up.

  • @Irfan-oe1fo
    @Irfan-oe1fo 2 месяца назад

    Great 👍
    Very informative session Umamah !!!

  • @airaa1302
    @airaa1302 10 месяцев назад

    Wow awesome lecture kudos Bruhh loved it❤

  • @kassimjimoh4578
    @kassimjimoh4578 Год назад +1

    Very comprehensive lecture

  • @UsmanTahir6
    @UsmanTahir6 Год назад

    Good run up to databricks salient features thanks!

  • @muralichiyan
    @muralichiyan 11 месяцев назад

    Lake house architecture = to matillion architect is it same ..?

    • @Analyticsvidhya
      @Analyticsvidhya  10 месяцев назад +1

      Lake House and Matillion Architect: They're not the same, but they're close friends! While both Lake House and Matillion Architect deal with data, they're different players in the game:
      Lake House: Imagine it as a house with an open yard and a locked basement. The open yard (data lake) stores structured and unstructured data flexibly. The locked basement (data warehouse) holds curated, high-quality data for analytics. You can freely move data between them.
      Matillion Architect: This is like a construction manager for your data house. It helps you build and manage data pipelines, connecting various data sources to your lake house and data warehouse. It focuses on the movement and transformation of data.

  • @WorldCup2023-updates
    @WorldCup2023-updates 4 месяца назад

    Which is best data engineer or infra / devops engineer for future scope,kindly pour ur suggestions

    • @Analyticsvidhya
      @Analyticsvidhya  4 месяца назад

      Dear learner, drop an email to our Career Counselling team & we’ll help you out with all the information: ummed@analyticsvidhya.com
      Alternatively, you may call on the any of the following numbers:
      Line1: +91 8068342847
      Line2: +91 8046107668

  • @S-Lomar
    @S-Lomar Год назад

    💞💞💕💕🥰🥰🥰🥰🥰🥰😍

  • @balajitamilarasan
    @balajitamilarasan 8 месяцев назад

    @umacs6614
    Hi Umama, Good One.. Hope you remember me as your colleague..