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Curso

Build Data Lakes and Data Warehouses on Google Cloud

Intermedio3 h 48 min

Build modern data lakehouses on Google Cloud using BigQuery, Cloud Storage, Apache Iceberg, BigLake, federated queries, and data governance tools.

R3 h 48 min52 ejercicios2,800 XP142Certificado de logro

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Descripción del curso

While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.

Requisitos previos

Este curso no tiene requisitos previos

Programa de formación

Esquema del curso

1

Course introduction

Introduce the learner to the topics that will be covered in the course and the skills they will learn.
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6

Labs and Best Practices

This module provides labs to deepen skills in the tools and technologies used by a lakehouse on Google Cloud and an overview of best practices, common mistakes, and future trends
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7

Course Summary

Summarize the architectural and operational capabilities of the BigQuery-centric data lakehouse, covering governance, advanced analytics, and machine learning
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R

Build Data Lakes and Data Warehouses on Google Cloud

Curso
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