Enterprise-scale framework for AWS migration

Organizations of all sizes are migrating to AWS cloud to take advantage of its unparalleled array of services for agility and cost optimization. The platform is especially well-suited to accommodating enterprise-scale workloads, though migrating large and complex data sets present unique challenges, and ensuring that the new environment delivers maximum benefits hinges on a well-planned and -executed migration.

Starschema offers a proven, flexible framework for migrating even the largest on-premises environments to AWS cloud so you can quickly realize the benefits of the cloud and fully leverage AWS-native solutions and services for competitive advantage.

AWS Migration Framework

Starschema performs end-to-end data migrations, including platform design, management and DataOps for entire multi-vendor data pipelines or specific components, for Fortune 50 and smaller enterprises. As a Select Tier Amazon Web Services partner with a proven track record of excellence in completing large, complex migrations and build projects, we’ve developed a proven and flexible framework, supported by customizable proprietary automation tools, that enables clients to quickly realize the benefits of the cloud and fully leverage AWS-native solutions and services to achieve operational efficiency and competitive advantage.

Key Benefits

Enterprise-ready framework

Migrate the largest and most complex workloads to AWS and take full advantage of cloud-native solutions and services.

Industry-leading automation

Realize exceptional time-to-value without compromising data quality by leveraging proprietary migration tools.

State-of-the-art architecture

Reduce total cost of ownership with a future-proof, AWS-native architecture and easy, predictable maintenance.

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Proprietary Automation Toolset

At the heart of the Starschema AWS cloud migration framework is a proprietary toolset for automating and optimizing tedious and repeatable tasks and enhancing productivity, getting you to your destination faster and at a lower cost. This battle-tested toolset allows for the automated migration and re-architecting of database objects, ETL pipelines, ingestion and visualization platforms, using AWS-native services wherever possible. It also ensures exceptional retention of data quality during the migration process even for large amounts of complex data, further reducing the time and costs involved.

Technologies

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Migration Methodology

1. Assessment and Planning

• Conduct broad and deep assessment of workloads, peak times, potential issues and other key factors

• Customize the migration framework to client’s needs

• Deliver proof of concept for setting up chosen AWS services

2. Mobilization and Migration

• Develop and set up necessary migration tools and access products

• Build metadata inventory and implement a version control system

• Deploy proprietary automation toolset for UDF conversion, DDL conversion and data type optimization

• Equip client with custom browser application for monitoring and testing migration results

• Verify migrated code against source using programmatic testing

3. Go-Live and Hypercare

• Schedule go-live with client and organize transfer of knowledge gained during the migration

• Provide hypercare for an agreed-on period

• Implement state-of-the-art operation monitoring systems

The Starschema Difference

Proven onboarding methodology

With standard processes for deployment, knowledge transfer and integration with ticketing systems, Starschema ensures faster time to value.

Experience in large environments

Fortune 100 companies trust Starschema to keep their data pipelines robust, resilient and reliable.

Flexible service models

Starschema offers Platform management and DataOps for entire, multi-vendor data pipelines or specific components.

Tools-based approach

Starschema deploys open source and proprietary frameworks, methodologies and tools to provide effective, accurate and repeatable solutions and services.

Complete data lifecycle management

From ingestion to consumption, our teams of database administrators, data engineers, ETL developers, and data visualization experts can provide a seamless solution for your complete data pipeline.

Ask the Expert

Anjan Banerjee

Field CTO

Anjan Banerjee works with cloud technologies and data warehouses. He has extensive experience in building data orchestration pipelines, designing multiple cloud-native solutions, and solving business-critical problems for many multinational companies. He applies the concept of infrastructure as code as a means to increase the speed, consistency, and accuracy of cloud deployments.