Delta Live Tables Demo: Modern software engineering for ETL processing
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- เผยแพร่เมื่อ 1 มิ.ย. 2024
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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.
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This is great. Can you share notebook for querying the transaction log and presenting it in reDash?
Great video, easy to understand, good overview for the Databricks beginners. Thanks!
Good video thank you. Quick question, is the DLT lineage also auotmatically avaialable and visisble in Unity Catalog?
Do you have a link to show how the queries work for monitoring the data quality. Thanks
Well explained. Thank you
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?
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. :-)
GREAT VIDEO
Anyone knows how to create a live dashboard like this in databricks?
Can an API hosted on an App service in anyway fetch Delta live tables data ? thanks
It’s been in gated preview for too long, when will it be made GA?
Today😃
@@adityaprakash6383 is this GA Aditya?
@@noorbashashaik2124 yes
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?
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.
Hes using autoloader to load the data probably from an s3 bucket, Azure cloud storage or volume