Acerca de este Curso

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Aprox. 8 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Español (Spanish)
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 8 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Español (Spanish)

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Programa - Qué aprenderás en este curso

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Semana
1

Semana 1

7 minutos para completar

Introduction

7 minutos para completar
2 videos (Total 7 minutos)
2 videos
Getting Started with Google Cloud and Qwiklabs4m
2 horas para completar

Introduction to Data Engineering

2 horas para completar
13 videos (Total 55 minutos)
13 videos
Analyze data engineering challenges8m
Intro to BigQuery3m
Data Lakes and Data Warehouses5m
Demo: Federated Queries with BigQuery6m
Transactional Databases vs Data Warehouses4m
Partner effectively with other data teams6m
Manage data access and governance2m
Demo: Finding PII in your dataset with DLP API1m
Build production-ready pipelines2m
Review GCP customer case study3m
Recap1m
Lab Intro: Using BigQuery to do Analysis17s
1 ejercicio de práctica
Introduction to Data Engineering30m
2 horas para completar

Building a Data Lake

2 horas para completar
10 videos (Total 58 minutos)
10 videos
Data Storage and ETL options on GCP4m
Building a Data Lake using Cloud Storage10m
Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions7m
Securing Cloud Storage5m
Storing All Sorts of Data Types5m
Demo: Running federated queries on Parquet and ORC files in BigQuery4m
Storing Relational Data in the Cloud1m
Cloud SQL as a relational Data Lake7m
Lab: Loading Taxi Data into Cloud SQL27s
1 ejercicio de práctica
Building a Data Lake4m
Semana
2

Semana 2

4 horas para completar

Building a data warehouse

4 horas para completar
17 videos (Total 93 minutos)
17 videos
Intro to BigQuery1m
Demo: Querying TB of Data in seconds7m
Getting Started9m
Loading Data11m
Lab Intro: Loading Data into BigQuery21s
Exploring Schemas24s
Demo: Exploring Schemas10m
Schema Design3m
Nested and Repeated Fields8m
Demo: Nested and Repeated Fields15m
Lab Intro: Working with JSON and Array Data in BigQuery13s
Optimizing with Partitioning and Clustering5m
Demo: Creating Partitioned Tables7m
Demo: Partitioning and Clustering6m
Preview: Transforming Batch and Streaming Data2m
Recap1m
1 ejercicio de práctica
Building a Data Warehouse4m
2 minutos para completar

Summary

2 minutos para completar
1 video (Total 2 minutos)
1 video

Revisiones

Principales revisiones sobre MODERNIZING DATA LAKES AND DATA WAREHOUSES WITH GCP

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Preguntas Frecuentes

  • Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

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