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Kursus

Build Data Lakes and Data Warehouses on Google Cloud

Menengah3 jam 48 mnt

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

R3 jam 48 mnt52 Latihan2,800 XP142Pernyataan pencapaian

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Deskripsi Kursus

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.

Prasyarat

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Kurikulum

Ringkasan kursus

1

Course introduction

Introduce the learner to the topics that will be covered in the course and the skills they will learn.
Mulai Bab
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
Mulai Bab
7

Course Summary

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

Build Data Lakes and Data Warehouses on Google Cloud

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