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    Data Migration & Modernization Services
    Stress-free infrastructure & data migration for the era of AI!
    Cloud Migration
    Cloud Migration

    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.

    Database Migration
    Database Migration

    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.

    Lakehouse modernization
    Lakehouse modernization

    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.

    Data Migration 101? More like Data Modernization 301 with Data Lakehouse!

    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, our data modernization services ensure migration with an ECMO in place to ensure a seamless shift.

    Data Migration 101
    Data migration journey
    Migrate your data with confidence, quickly & effortlessly
    Increased agility
    Increased agility

    Combine the semantic flexibility of a data lake with the delivery of a data warehouse

    Optimized Costs
    Optimized Costs

    Our detailed low latency frameworks help reduce overspending & ensure value on money

    Increased data security
    Increased data security

    We establish the right frameworks to establish secure data management access

    To Scale not just BI but also AI
    To Scale not just BI but also AI

    With Microsoft Fabric or Data Lakehouse expand from Business Intelligence to Artificial Intelligence seamlessly

    Select Data Migration Projects by Polestar Analytics
    Data Lakehouse Implementation for a Fortune500 Company
    Data Lakehouse Implementation for a Fortune500 Company
    Consumer Durables Leader

    Unified data lakehouse solution increased data accessibility by 200% and reduced analytics query times by 75%, driving in annual cost savings in millions.

    Microsoft Azure Migration for Alcoholic Beverages Company
    Microsoft Azure Migration for Alcoholic Beverages Company
    Alcoholic Beverage Company

    Azure cloud migration streamlined operations, resulting in 40% faster time-to-market for new products and a 30% increase in supply chain efficiency.

    Created a centralized data repository for an insurance organization
    Created a centralized data repository for an insurance organization
    Insurance Pioneer

    Consolidated data platform improved underwriting accuracy by 25% and reduced claim processing time by 60%, leading to a 15% increase in customer satisfaction.

    FAQ

    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:

    • Develop a comprehensive migration strategy and plan
    • Perform thorough data profiling and cleansing before migration
    • Conduct extensive testing, including parallel runs
    • Implement robust data validation and reconciliation processes
    • Create a rollback plan for worst-case scenarios
    • Ensure compliance with data protection regulations throughout the process

    To maintain business continuity during data migration, we:

    • Choose an appropriate migration approach (e.g., phased migration for minimal disruption)
    • Schedule migrations during off-peak hours or weekends
    • Implement a parallel run of old and new systems during transition
    • Provide clear communication and training to all stakeholders
    • Have a dedicated support team ready to address issues quickly
    • Use automated tools to accelerate the migration process and reduce manual errors
    • Regularly backup data and systems to enable quick recovery if needed