AWS Cloud Migration

Proven framework for flexible and effective enterprise-scale 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 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.

Scope of Solution

• Architecture design and set-up, including all data and analytics components

• Platform configuration

• Ingestion set-up

• Database objects migration and conversion

• ETL conversion

• Reports conversion

• Hypercare

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

Key Technologies

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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.

Our client, a Fortune 50 energy company needed to migrate all their existing data and analytics platforms to Amazon Web Services and redesign the existing architecture to leverage AWS-native technologies. This was an initiative to optimize performance and reduce long-term operation costs by taking advantage of recent advancements with AWS cloud-native solutions.

White Paper

Building AWS based Enterprise Data Lakes

Forward-thinking companies are harnessing the power of the cloud to consolidate data silos into data lakes. A well-designed data lake helps executives gain valuable insights, take actions and make faster and better decisions, all while ensuring data security. Still, it’s not easy to decide on the right technical solution for your business — this white paper will help.

Case Study

Oracle to AWS Data Platform Migration

When large organizations merge or divest, then new entity has business transformation thrust upon it. Our client, a provider of power generation solutions, divested from a larger organization to become a brand-new company. With the looming deadline of a cut-over from the existing data platform, the client engaged Starschema to validate and test the existing technology stack and determine the best way to move forward.