Build a No-Code ETL Pipeline with Google BigQuery
Build a No-Code ETL Pipeline with Google BigQuery
.MP4, AVC, 1152x720, 30 fps | English, AAC, 2 Ch | 2h 42m | 330 MB
Instructor: Vlad Gheorghe
.MP4, AVC, 1152x720, 30 fps | English, AAC, 2 Ch | 2h 42m | 330 MB
Instructor: Vlad Gheorghe
Learn to build a no-code data pipeline using BigQuery in this hands-on course. Get started with data ingestion, write SQL to process your data, and finish by creating a live dashboard. Perfect for beginners, this course enables you to gain practical skills in ETL processes, data visualization, and working with cloud-based tools. When you complete this course, you will have created a real project that updates automatically, using free resources in the BigQuery ecosystem.
Learning objectives
- Define how BigQuery works and how you can leverage it for data analytics.
- Identify how to use BigQuery Data Transfer Service to load your data in BigQuery.
- Determine how to transform your data with SQL in BigQuery, with an eye to efficiency and cost control.
- Articulate how to use BigQuery Scheduler to automate your queries and get alerted in case of issues.
- Examine how to build live dashboards for your data in Looker Studio.
Build a No-Code ETL Pipeline with Google BigQuery
