Скачать или смотреть Data Engineering Series | Part 14 | AWS Glue Streaming, DataBrew & Glue Studio Explained.

Welcome to Part 14 of the Data Engineering Series! 🚀 In this session, we dive into the practical applications and design of AWS Glue, exploring real-world scenarios and integrations with AWS services.

🔹 What You’ll Learn in This Video

When to use AWS Glue Streaming vs Amazon Kinesis Data Analytics

Key use cases and benefits of AWS Glue DataBrew

How AWS Glue integrates with S3, Athena, Redshift, Lake Formation

Difference between AWS Glue Studio and Glue DataBrew

Best practices for building modern ETL pipelines with AWS Glue

🔥 Why Watch This?
If you’re preparing for a Data Engineering career, working on real-world ETL workflows, or aiming to master serverless big data pipelines, this session is for you. With practical demos and clear explanations, you’ll be able to confidently design and implement AWS Glue solutions used in industry projects.

#AWSGlue #DataEngineering #AWS #BigData #GlueDataBrew #GlueStudio #GlueStreaming #Kinesis #Redshift #Athena #LakeFormation #DataPipelines #ETL #CloudComputing #AWSGlueTutorial #GlueVsKinesis #DataEngineer #ETLTutorial #InterviewPreparation

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