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Delta Live Tables Demo: Modern software engineering for ETL processing 

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Watch this demo to learn how to use Databricks Delta Live Tables to build a declarative ETL pipeline for batch and streaming data with SQL.
Delta Live Tables (DLT) is the first ETL framework that uses a simple declarative approach to building reliable data pipelines and automatically manages your infrastructure at scale so data analysts and engineers can spend less time on tooling and focus on getting value from data.
Learn more at databricks.com/product/delta-...
Get the Delta Lake: Up & Running by O’Reilly ebook preview to learn the basics of Delta Lake, the open storage format at the heart of the lakehouse architecture. Download the ebook: dbricks.co/3IEjl5c
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19 июн 2024

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Комментарии : 18   
@marcinsiara
@marcinsiara Год назад
Great video, easy to understand, good overview for the Databricks beginners. Thanks!
@amansehgal9917
@amansehgal9917 2 года назад
This is great. Can you share notebook for querying the transaction log and presenting it in reDash?
@gekodragon100
@gekodragon100 Год назад
Good video thank you. Quick question, is the DLT lineage also auotmatically avaialable and visisble in Unity Catalog?
@jolettin6408
@jolettin6408 Год назад
Do you have a link to show how the queries work for monitoring the data quality. Thanks
@joegenshlea6827
@joegenshlea6827 10 месяцев назад
Thank you for this video. I'm a little confused about what the "data.stations' refers to? Is it an array in the source json?
@simonhu5814
@simonhu5814 4 месяца назад
Well explained. Thank you
@tanushreenagar3116
@tanushreenagar3116 11 месяцев назад
GREAT VIDEO
@ozland7172
@ozland7172 9 дней назад
Thank you for the explanation! Can please someone confirm that the files can only be read from FileStore and not blob storage by this approach (SQL)? Tried reading it from blob storage and cannot access using cloud_files() function. I guess it requires pyspark to access blob storage and create delta live tables.
@willf7493
@willf7493 Год назад
Nice demo, but why does the comment for the "cleaned_station_status" table say "partitioned by station_id" when the code actually uses the last_updated_date column? You should update the comment in that notebook. :-)
@sid0000009
@sid0000009 Год назад
Can an API hosted on an App service in anyway fetch Delta live tables data ? thanks
@nontapatsumalnop4740
@nontapatsumalnop4740 Год назад
Anyone knows how to create a live dashboard like this in databricks?
@ibozhu
@ibozhu 2 года назад
It’s been in gated preview for too long, when will it be made GA?
@adityaprakash6383
@adityaprakash6383 2 года назад
Today😃
@noorbashashaik2124
@noorbashashaik2124 2 года назад
@@adityaprakash6383 is this GA Aditya?
@adityaprakash6383
@adityaprakash6383 2 года назад
@@noorbashashaik2124 yes
@mohammedsafiahmed1639
@mohammedsafiahmed1639 Год назад
am I missing something or does the video really doesnt show how he got all those files in the data lake in the first place?
@samgreene7961
@samgreene7961 6 месяцев назад
He mentions the python scripts/notebooks that get the data. Probably using an api and saving results to DBFS. I’m sure you can find how to do that in other videos.
@azazmir9340
@azazmir9340 Месяц назад
Hes using autoloader to load the data probably from an s3 bucket, Azure cloud storage or volume
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