Completion of a course covering an introduction to BigQuery (e.g., From Data to Insights with Google Cloud) or equivalent experience using BigQuery.
- Comparing architecture and provisioning of resources in Teradata and BigQuery
- Con guring datasets and tables in BigQuery
- Mapping data types in Teradata to data types in BigQuery
- Mapping and optimizing schemas from Teradata to BigQuery
- SQL translation from Teradata to BigQuery
Who Can Benefit?
Current users of Teradata (Data Engineers, Data Analysts, Data Scientists, Application Developers) migrating to BigQuery.
Outline for Migrating Teradata Users to BigQuery Training
Module 1: Understanding BigQuery Architecture
- Quick reminder of Teradata 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 Teradata
- Resource Hierarchy in BigQuery
- Creating resources in BigQuery
- Sharing resources in BigQuery
- Lab: Provisioning and Managing Resources in BigQuery
Module 3: Mapping Data Types
- How data types map from Teradata 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 Teradata to BigQuery
- SELECT statements
- DML statements
- DDL statements
- UDFs and Procedures
- Lab: Writing SQL for BigQuery
What is out of scope:
- Detailed instructions for all activities required to migrate from Teradata to BigQuery.
- Solutions for every use case of migrating Teradata in BigQuery. Our goal is to create a solid foundation your journey from Teradata to BigQuery
- This is not a replacement for more detailed BigQuery specific training nor BigQuery documentation.