Ementorhub

What you'll learn

Describe BigQuery’s architecture, resource provisioning, and data definition model.

Create, secure, and share BigQuery data assets using best practices.

Implement common patterns and best practices for designing schemas, ingesting data, and querying data in BigQuery.

Compare and contrast the differences and commonalities between Redshift and BigQuery.

Skills you'll gain

Database Design

Data Warehousing

Data Integration

Extract, Transform, Load

Google Cloud Platform

Query Languages

Data Architecture

Identity and Access Management

Data Modeling

Data Import/Export

SQL

Amazon Redshift

Database Management

There are 6 modules in this course

This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Redshift and want to begin working in BigQuery. Through interactive lecture content and hands-on labs, you learn how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery. Drawing upon your knowledge of Redshift, you also learn about similarities and differences between Redshift and BigQuery to help you get started with data warehouses in BigQuery.

BigQuery Data Definition Model

BigQuery and Google Cloud IAM

BigQuery Data Ingestion

BigQuery Schema Design and Optimization

SQL in BigQuery