Data Migration & Modernization Services
Disruption free data workflow revamp with the fastest turnaround time in the market!
Migrate your workloads to the public cloud or private cloud or modernized data center
Migration discovery analysis & assessment to identify the best fit path, recommend migration plans, manage end of life, and more.
Leverage our extensive pre-built migration frameworks for extensive cloud migration patterns like cloud to cloud, on premise to cloud, cloud to on-premise, and on-premise to on-premise.
Experience minimal downtime with multiple data centres & no data loss
Build scalable databases for your increasing data needs at a fraction of the cost you're used to. Get custom migration strategies Big bang, Trickle down, etc. for various database types (SQL, NoSQL, NewSQL).
Support for heterogenous & cloud native database migration along with post-migration performance monitoring.
Schema migration, design, and performance optimization
Move away from siloed and separate architectures which need complex ETL pipelines and data movements - to simplified data lakehouse.
With low cost object storage, serverless compute for different workloads, and metadata-led management- create an integrated analytics experience.
We understand that database & data migration is like a heart transplant. Given that it is the 'heart' of all systems including data load jobs, applications, configuration specifications and backup and recovery routines. We'll ensure migration with a ECMO in place to ensure seamless shift.
Combine the semantic flexibility of a data lake with the delivery of a data warehouse
Our detailed low latency frameworks help reduce overspending & ensure value on money
We establish the right frameworks to establish secure data management access
With Microsoft Fabric or Data Lakehouse expand from Business Intelligence to Artificial Intelligence seamlessly
The duration of a data migration project varies widely depending on the volume and complexity of data, the number of systems involved, and the organization's readiness. Typically, small to medium-scale migrations can take 2-6 months, while large enterprise-wide migrations may require more. Factors like data cleansing needs, compliance requirements, and the chosen migration strategy (big bang vs. phased) also impact the timeline.
To minimize risks like data loss or compatibility issues, the rough process we follow is:
To maintain business continuity during data migration, we: