courseraIT и технологии

Build Batch Data Pipelines on Google Cloud

Курс от Google Cloud

Средний≈ 10.9 чАнглийский

О курсе

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.

Навыки, которые вы освоите

Data Validation Data Quality Scalability Continuous Monitoring Data Cleansing Serverless Computing Performance Tuning System Monitoring Data Warehousing

Программа курса

4 модулей · 30 учебных материалов

01When to choose batch data pipelines3 материалов

Introduction

Batch data pipelines and their use casesPLUGIN Processing and common challenges PLUGIN Module 1 Quiz: When to choose batch data pipelinesЗадание

02 Design and build batch data pipelines10 материалов

Quiz

Учитесь у экспертов

Google Cloud Training

Преподаватель курса