Learn ETL Pipelines in Databricks in Under 1 Hour | Data Engineering in Databricks
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Top Comments (9)
I feel like YouTube content has moved towards data engineering more and more. I think the role of data analyst is cooked.
AI: 00:00 Introduction to Databricks ETL Pipelines 00:48 Understanding ELT and Medallion Architecture 02:11 Ingesting Data via CSV Upload 04:53 Connecting Databricks to Amazon S3 08:24 Transforming Raw Data to Silver Layer 13:14 Using AI Assistant for Data Cleaning 19:18 Creating Silver to Gold Transformations 22:12 Building and Running an ETL Pipeline 29:06 Automating Pipelines with Databricks Jobs 34:40 Configuring Job Triggers and Schedules 41:17 End-to-End ETL Project Overview 44:09 Streaming Data Ingestion from S3 47:35 Developing the End-to-End Pipeline with AI 54:14 Final Job Orchestration and Table Updates 1:00:13 Verifying Pipeline Results and Data Quality
im old fashion. I use sql and python in vscode. I think now im ready to start using databricks. thanks for explaining it in a very simple way.
Was thinking this 1 hour ago and you delivered!
Thank you, Alex. That was super helpful.
Hi Alex, could you please make a video on data except csv. Like using API call, json file, or connecting with other databases
can we get the notebook?
Hello all I got a rollback_complete when creating s3 bucket stack
Great
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Top Comments (9)
I feel like YouTube content has moved towards data engineering more and more. I think the role of data analyst is cooked.
AI: 00:00 Introduction to Databricks ETL Pipelines 00:48 Understanding ELT and Medallion Architecture 02:11 Ingesting Data via CSV Upload 04:53 Connecting Databricks to Amazon S3 08:24 Transforming Raw Data to Silver Layer 13:14 Using AI Assistant for Data Cleaning 19:18 Creating Silver to Gold Transformations 22:12 Building and Running an ETL Pipeline 29:06 Automating Pipelines with Databricks Jobs 34:40 Configuring Job Triggers and Schedules 41:17 End-to-End ETL Project Overview 44:09 Streaming Data Ingestion from S3 47:35 Developing the End-to-End Pipeline with AI 54:14 Final Job Orchestration and Table Updates 1:00:13 Verifying Pipeline Results and Data Quality
im old fashion. I use sql and python in vscode. I think now im ready to start using databricks. thanks for explaining it in a very simple way.
Was thinking this 1 hour ago and you delivered!
Thank you, Alex. That was super helpful.
Hi Alex, could you please make a video on data except csv. Like using API call, json file, or connecting with other databases
can we get the notebook?
Hello all I got a rollback_complete when creating s3 bucket stack
Great