Services / CT Visa
CT Visa
Your Gateway to Modern Data Excellence
CT Visa
Your Gateway to Modern Data Excellence
Services / CT Visa
Data infrastructure is evolving, requiring a faster and smarter shift from legacy systems to advanced cloud platforms. CT Visa, powered by Celebal Technologies, simplifies this transition with an AI-driven migration playbook, ensuring smooth integration across Azure Synapse, Amazon Redshift, Snowflake, Oracle, Google BigQuery, Informatica, and SAP. With automation at its core, it reduces complexity, accelerates adoption, and enhances efficiency. Backed by deep expertise in data modernization, Celebal Technologies ensures a smooth migration, enabling better insights and performance.
Key Types of
Data Migration
Database Migration – Transitioning from one database to another.
Data Warehouse Migration
Moving from on-premises to cloud-based warehouses (e.g., Teradata → Google BigQuery).
ETL/ELT Migration
Shifting from one data integration tool to another (e.g., Informatica → Azure Data Factory).
Cloud Migration
Transferring data and workloads from on-premises to the cloud.
Application Migration
Moving applications and their data between platforms.
Seamless MigrationAcross Leading
Data Platforms
CT Visa is designed to simplify migrations across multiple cloud and on-premises data ecosystems. Here’s how it ensures a smooth transition for different platforms:
Challenge
Legacy data warehouses struggle with scalability and real-time analytics.
CT Visa Advantage
Automates schema conversion, optimizes query performance, and ensures compatibility with Power BI and Microsoft ecosystem tools.
How Does CT Visa
Streamline Data
Migration?
Discovery (Week 1-2)
Identify key data engineering, AI/ML, and data-sharing use cases, ensuring alignment with objectives.
Assessment (Week 3-4)
Conduct in-depth technical, architectural, functional, and security assessments to define a clear migration plan.
Migration Pilot (Week 5-8)
Migrate workloads from Snowflake to Databricks, optimizing pipelines and refining workflows for efficiency.
Validation (Week 9)
Reconcile data across different layers, monitor performance, and assess data quality metrics for accuracy.
Readout (Week 10)
Evaluate pilot findings, establish an incremental migration roadmap, and ensure production readiness.
Next Steps (Week 10+)
Deploy to production, iterate incremental migrations, and enable user adoption for long-term success.
Success Stories
A Data Migration Success Story
Use Case
A leading enterprise sought to modernize its data landscape, moving away from legacy Snowflake-based architecture. The goal was to enhance agility, optimize costs, and unlock the full potential of modern cloud-based data engineering, AI/ML, and analytics.
Solution
- CT Visa enabled a seamless transition to Databricks by:
- - Migrating all workloads from Snowflake to Databricks.
- - Modernizing ETL workflows for cloud deployment.
- - Optimizing post-migration code for enhanced performance and efficiency.
CT Visa enabled a seamless transition to Databricks by:
- Migrating all workloads from Snowflake to Databricks.
- Modernizing ETL workflows for cloud deployment.
- Optimizing post-migration code for enhanced performance and efficiency.
Impact
- 23% Performance BoostETL workloads saw a significant performance improvement.
- 16% Cost ReductionStreamlined operations reduced data processing expenses.
- Enhanced Data Resilience Central Delta Lake capabilities eliminated data loss during pipeline failures.
Take Your Data Migration to the Next Level with CT Visa
Make the switch to modern platforms effortlessly with CT Visa’s AI-powered approach. From databases to cloud solutions, we streamline the process for efficiency, cost savings, and better performance.
