Streaming Data Using DLT with Auto Loader and Hugging Face Sentiment Analysis

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Modern data engineering requires more advanced data lifecycle for data ingestion, transformation, and processing. In this session, learn how the Databricks Lakehouse Platform provides an end-to-end data engineering solution — ingestion, processing and scheduling — that automates the complexity of building and maintaining pipelines and running ETL workloads directly on a data lake, so your team can focus on quality and reliability to drive valuable insights.

  1. Databricks
  2. Databricks
  3. Demo
  4. Delta Live Tables
  5. Auto Loader
  6. Streaming Data
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Комментарии
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Hi, amazing video but where is github link. which host is talking in video.

deathseal
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Any other data engineers that are regular here? :D Very informative channel!

studyingasyouwere
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Very cool and well demonstrated. Though, would be great to see demos on other clouds like Azure. I mean, that's why Azure Databricks exists, right?

tolandmike
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