T-MRSBQ-BOfficial Google Curriculum
Migrating Amazon Redshift Users to BigQuery
1 dayILTIntroductoryLoading...
Overview
Learn how to translate various concepts in Amazon Redshift to analogous concepts in BigQuery, including architecture comparisons, configuring datasets and tables, mapping data types and schemas, and SQL dialect translation.
What You'll Learn
- 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
Customers
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.
Products Covered
BigQuery
Course Modules
1
Understanding BigQuery Architecture
Topics
- Quick reminder of Amazon Redshift architecture
- Overview of BigQuery architecture
- Separation of compute and storage in BigQuery
- BigQuery Slots
- Workload management in BigQuery
Learning Outcomes
- Compare architecture and provisioning of resources in Amazon Redshift and BigQuery
- Describe the concept of a slot in BigQuery
2
Creating Datasets and Tables in BigQuery
Topics
- Resource Hierarchy in Amazon Redshift
- Resource Hierarchy in BigQuery
- Creating resources in BigQuery
- Sharing resources in BigQuery
Learning Outcomes
- Understand the resource hierarchy in BigQuery
- Configure datasets and tables in BigQuery
Activities
Lab: Provisioning and Managing Resources in BigQuery
3
Mapping Data Types from Amazon Redshift to BigQuery
Topics
- Mapping for data types from Amazon Redshift to BigQuery
- Data types unique to BigQuery
Learning Outcomes
- How data types map from Amazon Redshift to BigQuery
- Understand data types unique to BigQuery
4
Schema Optimization and Mapping
Topics
- Schema definitions in BigQuery
- Partitioning in BigQuery
- Clustering in BigQuery
Learning Outcomes
- Define schemas in BigQuery
- Implement partitioning and clustering in BigQuery
Activities
Lab: Schema Migration to BigQuery
5
SQL Translation from Amazon Redshift to BigQuery
Topics
- SELECT statements
- DML statements
- DDL statements
- UDFs and Procedures
Learning Outcomes
- Understand query capabilities in BigQuery SQL
- Write user-defined functions and procedures in BigQuery SQL
Activities
Lab: Writing SQL for BigQuery
What's Not Covered
- Detailed instructions for all activities required to migrate from Amazon Redshift to BigQuery
- Solutions for every use case of migrating Amazon Redshift in BigQuery
- This is not a replacement for more detailed BigQuery specific training nor BigQuery documentation
Get This Training
No public classes currently scheduled. Express interest below or request private training.
Course Details
- Course Code
- T-MRSBQ-B
- Duration
- 1 day
- Format
- ILT
- Level
- Introductory
- Modules
- 5
- Activities
- 3
- Price
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Questions About This Course?
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