Services / Migration & Lakehouse
Advancing Enterprise Data with Lakehouse Architecture
Simplify Complexity and Modernize Your Data Landscape with Seamless Migration to Lakehouse Architecture
Advancing Enterprise Data with Lakehouse Architecture
Simplify Complexity and Modernize Your Data Landscape with Seamless Migration to Lakehouse Architecture
Services / Migration & Lakehouse
Traditional enterprise data warehouses provide essential functions but also create complexity, require high maintenance, and struggle with diverse data types. Many enterprises are moving to lakehouse architecture, which combines the advantages of data lakes and data warehouses into a modern data infrastructure. This approach simplifies data management and supports innovation.
Lakehouse Architecture
A lakehouse architecture offers the flexibility of data lakes with the performance of data warehouses, allowing enterprises to store and analyze structured, semi-structured, and unstructured data in one system. With advanced lakehouse analytics, organizations gain deeper insights and improve enterprise data transformation. Our data migration service helps transition from Hadoop, Snowflake, SAP Business Warehouse (BW), and HANA to the Databricks Lakehouse Platform, ensuring better efficiency and scalability.
Advantages of Migrating to a Lakehouse Architecture
Efficient Data Management
A consolidated platform for data storage, processing, and analytics simplifies operations and improves accessibility.
Enhanced Scalability
Designed to accommodate increasing data volumes while maintaining performance.
Cost Efficiency
Supports cost-effective storage and computing solutions without compromising on advanced data management features.
Advanced Analytics
Native support for business intelligence and machine learning provides deeper insights and enhances decision-making capabilities.
Our Migration Roadmap and Approach
Current Infrastructure Assessment
Our team evaluates existing systems to identify challenges and opportunities for improvement.
Data Strategy Development
We work closely with clients to define a clear strategy for how data will be ingested, stored, processed, and analyzed within the lakehouse environment.
Technology Selection
We help organizations choose the right tools and platforms that align with their lakehouse architecture needs.
Data Migration & Preparation
We ensure a smooth transition by migrating existing datasets into the lakehouse while maintaining data quality and integrity through automated processes.
Governance and Security Implementation
Our experts establish governance frameworks that ensure compliance with regulations while protecting sensitive information throughout the migration process.
Training and Support
We provide training for teams to effectively utilize the new system, ensuring they are equipped with the necessary skills for success.
CT Visa & BladeBridge:
A Comprehensive Approach to Data Warehouse Migrations
Combining Celebal Technologies' CT Visa and Databricks' BladeBridge AI-powered migration solutions offers a structured and efficient approach to migrating enterprise data warehouses to the Databricks Data Intelligence Platform.
CT Visa provides automated migration frameworks that reduce transition time by 50%, lower costs by 30-35%, and improve insights by 70%, facilitating the move from Hadoop, Snowflake, SAP BW, or HANA.
BladeBridge, with its AI-powered migration engine, automates the conversion of SQL, ETL, and database assets from legacy platforms such as Teradata, Oracle, Snowflake, and Redshift, ensuring accuracy and efficiency in migrating to Databricks SQL.
By integrating CT Visa’s structured migration strategy with BladeBridge’s AI-driven automation, enterprises can mitigate migration risks, minimize downtime, and establish a scalable, cost-effective Lakehouse architecture.
CT Visa
BladeBridge
Success Stories
A leading Canadian multinational insurance and financial services provider with over 35 million customers faced scalability challenges in managing its ETL-based SAS analytics system. Celebal technologies migrated their entire workflow to Databricks, improving performance by 80% and reducing costs by 40%, while enhancing scalability and adaptability for evolving enterprise needs.
Reach Out to Us to Discuss How We Can Support Your Data Infrastructure Modernization
Discover how we can help you build a smarter, streamlined data ecosystem.
