GCP-TERA-BQ
Migrating Teradata Users to BigQuery Training
In this course you will learn how to translate various concepts in Teradata to the analogous concepts in BigQuery. You will learn how the high-level architectures of Teradata and BigQuery compare, understand di erences in how to con gure datasets and tables, map data types in Teradata to data types in BigQuery, understand schema mapping from Teradata to BigQuery, optimize your new schemas in BigQuery, and do a high-level comparison of SQL dialects in Teradata and BigQuery
Course Details
Duration
1 day
Prerequisites
Completion of a course covering an introduction to BigQuery (e.g., From Data to Insights with Google Cloud) or equivalent experience using BigQuery
Target Audience
Current users of Teradata (Data Engineers, Data Analysts, Data Scientists, Application Developers) migrating to BigQuery.
Skills Gained
- 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
Course Outline
- 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
- Creating Datasets and Tables in BigQuery
- Resource Hierarchy in Teradata
- Resource Hierarchy in BigQuery
- Creating resources in BigQuery
- Sharing resources in BigQuery
- Mapping Data Types
- How data types map from Teradata to BigQuery
- Understand data types unique to BigQuery
- Schema Mapping and Optimization
- Schema definitions in BigQuery
- Partitioning in BigQuery
- Clustering in BigQuery
- Translation from Teradata to BigQuery
- SELECT statements
- DML statements
- DDL statements
- UDFs and Procedures
