Amazon Web Services

This video demonstrates how to use AWS Glue to integrate data from Google BigQuery. The presenter, a senior specialist Solutions architect, shows how to create a serverless ETL pipeline using AWS Glue Studio. The demo covers connecting to Google BigQuery, reading a public dataset, storing data in Amazon S3, and then using AWS Glue to augment and aggregate the data before writing it back to Google BigQuery. The process is explained step-by-step, including creating necessary connections, configuring data sources and targets, and running Glue jobs. The video concludes by visualizing the processed data in Google BigQuery, showcasing the seamless integration between AWS services and Google's data warehouse.

Learn more at: https://go.aws/40c768w

product-information
skills-and-how-to
data
analytics
data-integration
Show 4 more

Up Next

VideoThumbnail
30:23

T3-2 Amazon SageMaker Canvasで始めるノーコード機械学習 (Level 200)

Jun 27, 2025
VideoThumbnail
31:49

T2-3 AWS を使った生成 AI アプリケーション開発 (Level 300)

Jun 27, 2025
VideoThumbnail
26:05

T4-4: AWS 認定 受験準備の進め方 AWS Certified Solutions Architect – Associate 編 後半

Jun 26, 2025
VideoThumbnail
32:15

T3-1: はじめてのコンテナワークロード - AWS でのコンテナ活用の第一歩

Jun 26, 2025
VideoThumbnail
29:37

BOS-09: はじめてのサーバーレス - AWS Lambda でサーバーレスアプリケーション開発 (Level 200)

Jun 26, 2025