Get Data Into Databricks - Simple ETL Pipeline

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In this short instructional video, you will learn how to get data from cloud storage and build a simple ETL pipeline
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Опубликовано:

26 июн 2024

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Комментарии : 17

@nicky_rads Год назад

Solid demo for an intro to data engineering !

@julius8183 2 месяца назад

Very clear and quick tutorial. Well done, thanks!

@rendorHaevyn Год назад

Great demo

@vaddadisanthoshkumar4143 Год назад

Thank you. 🙏

@omer_f_ist Год назад

In the video orders/spend information data is exported as csv files. Should source OLTP systems export data? Is it more practical than the other methods(jdbc, etc...) ?

@user-tp2vb4gh3h 9 месяцев назад

Nice. Is the notebook available to download and try?

@sumantra_sarkar 3 месяца назад

Thanks for the demo. Do you all have a link to the slide deck and the data set please?

@ongbak6500 Год назад

Hi, where I can get this code that you are showing here?

@rabish86 Год назад

Can u provide us the data file or source for practice shown in this video?

@UntouchedPerspectives 9 месяцев назад

What about on prem data and iot data? Does DBX has ingestion capabilities?

@dhruvpathi941 Год назад

where can i find this notebook ?

@TheDataArchitect 6 месяцев назад

You have not append any meta data with the bronze layer, like when it was ingested, which file is the source of it? bronze layer should have all historical data, no? and what should be done next at the silver layer, so that only unprocessed data is processed to the silver table?

@LearnWithDummy Месяц назад

strange, 1/ Bronze: Loading data from blob storage , and path is from S3? am i missing something here?

@borrarao1525 6 месяцев назад

Good

@7effrey Год назад

Is this the recommended way of doing ETL with databricks? I thought delta live tables where the recommended approach now

@uditranjan2432 Год назад

This is one of the ways to build a simple pipeline with Databricks - how one can easily get data from cloud storage and apply some transformations on it. Delta Live Tables (DLT) is the recommended approach for modern ETL/more complex workflows. We will publish an explainer video on DLT soon.