Migrating Amazon Redshift Users to BigQuery

(1 day)


In this course, you will learn how to translate various concepts in Amazon Redshift to the analogous concepts in BigQuery. You will learn how the high-level architectures of Amazon Redshift and BigQuery compare, understand differences in how to configure datasets and tables, map data types in Amazon Redshift to data types in BigQuery, understand schema mapping from Amazon Redshift to BigQuery, optimize your new schemas in BigQuery, and do a high-level comparison of SQL dialects in Amazon Redshift and BigQuery.

Course Objectives

  • Comparing architecture and provisioning of resources in Amazon Redshift and BigQuery
  • Configuring datasets and tables in BigQuery
  • Mapping data types in Amazon Redshift to data types in BigQuery
  • Mapping and optimizing schemas from Amazon Redshift to BigQuery
  • SQL translation from Amazon Redshift to BigQuery


Current users of Amazon Redshift (Data Engineers, Data Analysts, Data Scientists, Application Developers) migrating to BigQuery.


Completion of a course covering an introduction to BigQuery (e.g. ”From Data to Insights with Google Cloud”) or equivalent experience using BigQuery.

Course Outline


Module 1: Understanding BigQuery Architecture

  • Quick reminder of Amazon Redshift architecture
  • Overview of BigQuery architecture
  • Separation of compute and storage in BigQuery
  • BigQuery Slots
  • Workload management in BigQuery

Module 2: Creating Datasets and Tables in BigQuery

  • Resource Hierarchy in Amazon Redshift
  • Resource Hierarchy in BigQuery
  • Creating resources in BigQuery
  • Sharing resources in BigQuery
  • Lab: Provisioning and Managing Resources in BigQuery

Module 3: Mapping Data Types from Redshift to BigQuery

  • How data types map from Amazon Redshift to BigQuery
  • Understand data types unique to BigQuery

Module 4: Schema Mapping and Optimization

  • Schema definitions in BigQuery
  • Partitioning in BigQuery
  • Clustering in BigQuery
  • Lab: Schema Migration to BigQuery

Module 5: SQL Translation from Redshift to BigQuery

  • SELECT statements
  • DML statements
  • DDL statements
  • UDFs and Procedures
  • Lab: Writing SQL for BigQuery