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Data Engineering with the Open Source Modern Data Stack (From MDS Fest '23) 

Dagster
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The Modern Data Stack gives us a wide range of free technology for data ingestion, data storage, data transformation, data orchestration, and data visualization.
Pedram Navid, Head of Data Engineering and DevRel at Dagster, walks us through one data pipeline design using a number of open-source solutions, including Dagster, dbt, PopSQL, and the Mastodon API, DuckDB, dbt-duckdbt, Evidence, Sling and Steampipe.
The pipeline is used to analyze bird observation data from the Cornell Lab.
Github Repo: github.com/dagster-io/mdsfest...
Source Data: feederwatch.org/explore/raw-d...
Try Dagster today with a 30-day free trial: dagster.io/lp/dagster-cloud-t...

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4 сен 2023

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Комментарии : 9   
@maxisqt
@maxisqt 4 месяца назад
This is the coolest tech demo I've ever seen. I have wanted for so long to see an end-to-end analytics stack demo, or tutorial, and never found it. You just did it in 15 minutes, using free, open source tools I can run locally on my laptop. Absolutely incredible!
@dagsterio
@dagsterio 4 месяца назад
Thanks. The Dagster capabilities are expanding with each new release.
@VaibhavPatil-rx7pc
@VaibhavPatil-rx7pc 10 месяцев назад
Excellent information thanks
@Robay146
@Robay146 3 месяца назад
Great presentation.
@simondelorean
@simondelorean 10 месяцев назад
Awesome, you just saved me a ton of work. This tool set looks great. One thing I noticed: I had to turn up the volume quite a bit.
@allthatyouare
@allthatyouare 8 месяцев назад
Trying this out! This was a great overview. Thank you!!
@pnavid
@pnavid 10 месяцев назад
Great job❤
@gauravlotekar660
@gauravlotekar660 10 месяцев назад
Excellent demo
@alexzir
@alexzir 10 месяцев назад
Awesome!
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