Data Engineering with Databricks

  Рет қаралды 43,279

Analytics Vidhya

Analytics Vidhya

Күн бұрын

Пікірлер: 18
@Analyticsvidhya
@Analyticsvidhya 5 ай бұрын
Book FREE 1:1 Mentorship for Gen AI / Data Science Link 🔗 bit.ly/3wlIIGz
@faheemsatti8734
@faheemsatti8734 Ай бұрын
great job explaining databricks well done.
@Ajjeshh
@Ajjeshh Жыл бұрын
Amazing content .Clean & Crisp .👌👌
@maniratnamgare
@maniratnamgare Жыл бұрын
Informative Video..Thanks
@umacs6614
@umacs6614 11 ай бұрын
Good learning. Thanks
@sripadan
@sripadan 11 ай бұрын
Clean and crisp 👍
@meetpatel.47
@meetpatel.47 Жыл бұрын
Best video,keep it up.
@Irfan-oe1fo
@Irfan-oe1fo 4 ай бұрын
Great 👍 Very informative session Umamah !!!
@kassimjimoh4578
@kassimjimoh4578 Жыл бұрын
Very comprehensive lecture
@airaa1302
@airaa1302 Жыл бұрын
Wow awesome lecture kudos Bruhh loved it❤
@UsmanTahir6
@UsmanTahir6 Жыл бұрын
Good run up to databricks salient features thanks!
@muralichiyan
@muralichiyan Жыл бұрын
Lake house architecture = to matillion architect is it same ..?
@Analyticsvidhya
@Analyticsvidhya Жыл бұрын
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 6 ай бұрын
Which is best data engineer or infra / devops engineer for future scope,kindly pour ur suggestions
@Analyticsvidhya
@Analyticsvidhya 5 ай бұрын
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 Жыл бұрын
💞💞💕💕🥰🥰🥰🥰🥰🥰😍
@balajitamilarasan
@balajitamilarasan 10 ай бұрын
@umacs6614 Hi Umama, Good One.. Hope you remember me as your colleague..
@umamahfatima8571
@umamahfatima8571 3 ай бұрын
Thanks Balaji!
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