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simplified & quick teradata migration to GCP bigquery
what are the challenges with on-premise teradata
- High operational, depreciation, and maintenance cost
- High upfront investment
- Limited flexibility
- Scale on-demand is challenging
- Performance challenges
- Vendor lock-in
- Difficult to support real-time analytics
- Data latency
- Limited scaling for Advanced Analytical & AI capabilities
- Limited support for unstructured data
- Upgrades are expensive and time-consuming
- Disaster Recovery is challenging and complex
- Infrastructure and database support team is required
how does migration to Google BigQuery solve these challenges
- Petabytes scale Data Warehouses without any installation or set-up
- Focus on analytical use cases to drive value without increased infrastructure cost
- Support for Data Science and Analytics
- Instant & elastic scaling of capacity as per demand
- Query performance across the spectrum of workloads
- Support for real-time feeds and analytics
- Easy adoption of new tools, features, and functions as they become available
- Pay-as-you-go (Pay only for the storage used and queries run)
- In-memory storage capabilities
- Support for ANSI compliant SQL
- No limit on users and data size
- Integration with Business Intelligence tools
- High availability and Disaster Recovery built-in
how does datametica migrate from teradata to bigquery
eagle
the planner
Architecting an end-to-end migration strategy, with workload discovery, assessment, planning, and cloud optimization.
raven
the transformer
Automated & Optimized code (SQL/Scripts/ETL) conversion to the cloud-native technologies.
pelican
the validator
Automating data validation, reconciliation, and comparison of datasets across two heterogeneous data stores.
how to get started
Assessment is done through the Egale using SQL logs and Metadata extracted from Teradata. Machine learning tools to identify access patterns, all system activities, and artifacts are needed to plan the migration. This engagement also results in:
Migration Strategy
Migration Plan
Effort Estimation
Solution Architect
Technical Architect
FAQs
What are the benefits of Teradata Migration to Google cloud?
Following are a few of the many benefits of Teradata migration to the GCP?
- Improvement in overall performance
- Reduction in overall cost
- Enablement of new analytics, ML, and AI capabilities
- Disaster Recovery options
- Improvement in data quality and accuracy
Challenges in teradata migration?
Teradata migration to the cloud can be a demanding process due to the following reasons:
- A complex language surface.
- Unknown complexity of Teradata environment due to limited knowledge
- Rewriting of the Teradata syntax and workloads to the new cloud-native system
Datametica through its unique products and experiences ensures seamless Teradata migration in reduces time and cost with less business risk. Read our Teradata case study here
