Modernizing Data Lakes and Data Warehouses with GCP em Português Brasileiro is a comprehensive course offered by Google Cloud. This course delves into the essential components of a data pipeline, namely data lakes and warehouses. It provides detailed insights into the use cases for each storage type and the technical solutions available within Google Cloud. Additionally, it explores the role of a data engineer, the operational benefits of a functional data pipeline, and the reasons why data engineering should be carried out in a cloud environment.
The course consists of several modules, each focusing on specific aspects such as an introduction to data engineering, creating a data lake, and establishing a data warehouse. Students will gain an understanding of the differences between data lakes and data warehouses, the role of a data engineer, and the benefits of a functional data pipeline for business operations. Furthermore, they will learn why data engineering is best performed in a cloud environment.
Upon completion, students are recommended to continue their learning journey with the course "Building Batch Data Pipelines on Google Cloud."
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Este curso é composto por vários módulos que abrangem desde uma introdução à engenharia de dados, criação de data lake até a implementação de um data warehouse.
Introdução à série de cursos e ao curso, juntamente com uma análise detalhada dos principais componentes de um pipeline de dados.
Este módulo aborda a introdução à engenharia de dados, destacando o papel do engenheiro de dados, os desafios enfrentados e a importância do BigQuery e dos data lakes e data warehouses.
Neste módulo, os alunos aprenderão sobre a criação de um data lake, incluindo opções de armazenamento de dados, ETL no Google Cloud e a criação segura de um data lake usando o Cloud Storage.
Os participantes deste módulo se aprofundarão na criação de um data warehouse moderno, compreendendo o papel do BigQuery, análise de esquemas, carregamento de dados, otimizações e muito mais.
Este módulo oferece um resumo abrangente de todo o curso, consolidando os principais aprendizados e insights obtidos ao longo dos módulos anteriores.
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