Teradata to Big Query Migration for a Leading Tech Firm
- Introduction
A leading tech firm engaged VerticalServe to migrate their data warehouse from Teradata to BigQuery, a Google Cloud Platform (GCP) service. The migration was aimed at improving data analytics and reporting capabilities, reducing costs, and improving data governance and security. The process involved the following steps:
2. Catalog Creation of Data Sets and Applications
VerticalServe began the project by cataloging existing data sets and applications in Teradata. The catalog provided a comprehensive inventory of the data and applications and helped prioritize the migration order.
3. Analysis and Mapping of Tables
The VerticalServe team analyzed Teradata schemas, tables, and columns to identify similarities and differences between Teradata and BigQuery. Based on this analysis, they created a mapping document to guide the migration process.
4. Conversion Rules Management
The team defined conversion rules to handle differences in data types, table structures, and indexing between Teradata and BigQuery. These rules ensured a smooth transition without compromising data integrity.
5. Automation of Conversion
VerticalServe used custom scripts and tools to automate the conversion of Teradata tables, views, and stored procedures to BigQuery-compatible formats. This streamlined the migration process and reduced the potential for manual errors.
6. Data Validation on BigQuery
The team performed data validation checks on BigQuery to ensure data consistency and accuracy between the source and target systems. These checks helped identify and address any data discrepancies during the migration process.
7. Data Type Optimization and Tracking Changes
VerticalServe optimized data types and storage configurations in BigQuery to improve performance and reduce storage costs. They also implemented change tracking mechanisms to capture and synchronize changes in Teradata during the migration process.
8. Application Migration and Validation
The team migrated and validated applications to ensure they functioned correctly on BigQuery. They also provided guidance on optimizing applications for the new environment.
9. Data Governance and Security Implementation
VerticalServe implemented data governance and security measures in BigQuery, including access controls, data classification, and encryption. These measures helped ensure the tech firm’s data was secure and compliant with industry regulations.
10. Data Lifecycle Management on GCP
The team established data lifecycle policies for BigQuery, including data retention, archiving, and deletion. These policies helped the tech firm manage its data effectively and control storage costs.
11. Slots and Quota Design
VerticalServe designed a slots and quota allocation strategy to optimize BigQuery performance and cost efficiency. This strategy ensured that the tech firm had sufficient resources to support its data analytics workloads.
12. Incremental Migration and Decommissioning
The team executed an incremental migration approach, prioritizing and migrating data sets and applications in phases. This approach minimized disruption to the tech firm’s operations. After successful migration, VerticalServe decommissioned the Teradata system, ensuring a seamless transition to BigQuery.
13. Conclusion
VerticalServe successfully migrated the leading tech firm’s data warehouse from Teradata to BigQuery. The migration resulted in improved data analytics and reporting capabilities, reduced costs, and enhanced data governance and security. The incremental migration approach and effective project management ensured minimal disruption to the tech firm’s operations.
About:
VerticalServe Inc — Niche Cloud, Data & AI/ML Premier Consulting Company, Partnered with Google Cloud, Confluent, AWS, Azure…50+ Customers and many success stories..
Website: http://www.VerticalServe.com
Contact: contact@verticalserve.com
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