Build Batch Data Pipelines on Google Cloud

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Build Batch Data Pipelines on Google Cloud

Coursera · Intermediate ·📊 Data Analytics & Business Intelligence ·1mo ago
Skills: ML Pipelines70%
In this intermediate course, you will learn to design, build, and optimize robust batch data pipelines on Google Cloud. Moving beyond fundamental data handling, you will explore large-scale data transformations and efficient workflow orchestration, essential for timely business intelligence and critical reporting. Get hands-on practice using Dataflow for Apache Beam and Serverless for Apache Spark (Dataproc Serverless) for implementation, and tackle crucial considerations for data quality, monitoring, and alerting to ensure pipeline reliability and operational excellence. A basic knowledge of data warehousing, ETL/ELT, SQL, Python, and Google Cloud concepts is recommended.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Up next
How Suntory Turns Data into Faster Decisions with Databricks
Databricks
Watch →