Course Overview

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.

What are the skills covered

  • Compare architecture and provisioning of resources in Amazon Redshift and BigQuery
  • Configure datasets and tables in BigQuery
  • Map and compare data types in Amazon Redshift to data types in BigQuery
  • Map and optimize schemas from Amazon Redshift to BigQuery
  • Translate SQL from Amazon Redshift to BigQuery

Who should attend this course

  • Anyone who are interested

Course Curriculum

What are the Prerequisites

  • Experience using Amazon Redshift as a data warehouse for managing data and performing SQL analysis.
  • Basic experience with BigQuery is recommended, but not required for this course.

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Course Modules

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Training Options

Intake: Available Upon Request
Duration: 1 Day
Guaranteed: TBC
Modality: ILT
Price:

RM2,400.00Enroll Now

Exam:
[yith_ywraq_button_quote product="131214"]
Intake: Available Upon Request
Duration: 1 Day
Guaranteed: TBC
Modality: VILT
Price:

RM2,400.00Enroll Now

Exam:
[yith_ywraq_button_quote product="131215"]

Exam & Certification

Note: There is no exam directly associated with this course. However, Google Cloud offers an extensive portfolio of industry-recognized certifications that can help you stand out as a tech professional in 2025 and beyond. Obtaining a Google Cloud certified credential is one of the most effective ways to validate your skills and accelerate your career.

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Explore our full range of Google Cloud certifications and start building the skills that matter today.

Training & Certification Guide

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