Database Modernization

Update legacy systems to meet modern business requirements:
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Re-engineer databases for cloud readiness.

Automate manual processes with modern ETL tools.

Enhance compatibility with modern applications and analytics platforms

Cloud-Native Database Solutions

Adopt cloud-native technologies for cost efficiency and scalability:

Design and implement serverless databases (e.g., Amazon Aurora, Azure Cosmos DB).

Enable real-time analytics and reporting through integration with data lakes and warehouses.

Optimize resource usage with autoscaling capabilities.

Database Migration Services

Seamlessly transition your databases to modern platforms with minimal downtime and zero data loss.

Cloud Migration

Migrate databases to leading cloud platforms such as Azure, AWS or Google Cloud.

Leverage Lift-and-Shift or re-platforming strategies to meet business objectives.

Cross-Platform Migrations

Move between database platforms (e.g., SQL Server to PostgreSQL, Oracle to MySQL).

Teradata to dbt Conversion

Transform Your Teradata Workflows into Agile, Modern Data Pipelines with dbt

Legacy ETL systems like Teradata often struggle with scalability, cost-efficiency, and compatibility with cloud-native architectures. Migrating to dbt (Data Build Tool) offers significant advantages, including: Modular and Scalable Data Pipelines, Improved Performance with SQL-Based Transformations, Seamless Integration with Modern Cloud Data Warehouses like Snowflake & Azure Synapse and Version Control and Collaboration via Git-based workflows.

Comprehensive Assessment

We begin by conducting a detailed analysis of your current Teradata workflows, including ETL scripts, dependencies, and system architecture. This helps us identify redundant processes and uncover optimization opportunities.

Code Conversion Framework

Our structured approach ensures a smooth transition from Teradata SQL-based ETL processes to dbt transformations:

Automated parsing and conversion of Teradata SQL scripts into dbt models.

Query optimization for cloud-native execution.

Modularization of complex workflows into maintainable dbt models.

Data Validation & Testing

We ensure the accuracy and consistency of your data with robust validation processes

Automated testing frameworks to verify data consistency.

Validation tests built directly in dbt to catch issues proactively.

Side-by-side comparisons of Teradata outputs and dbt results to confirm parity.

Workflow Orchestration

Legacy Teradata workflows are redefined for improved flexibility and monitoring using modern orchestration tools, such as Apache Airflow, Prefect and dbt Cloud Scheduler

Integration with Cloud Platforms

We enable seamless connectivity between dbt transformations and top cloud platforms, including Azure Synapse Analytics, Snowflake and more

End-to-End Support

Our support extends post migration for a sustainable solution.

Post-migration performance optimization and monitoring.

Ongoing support for future enhancements and scalability.