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AWS Cloud Migration

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.

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.


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Migraton Methodology

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Assessment and Planning

Starschema provides broad and deep preliminary assessment of workloads, peak times, potential issues and other key factors, reducing the associated burden on the client. Leveraging substantial hands-on experience with on-premises data lake solutions and a close working relationship with AWS, we then customize the migration framework to the client’s needs to ensure effectiveness. Starschema delivers a proof of concept for setting up the chosen AWS services and completes the planning phase by identifying the resources, tools and developments necessary to achieve the desired results.

Mobilization and Migration

Building on extensive experience in Tableau, Talend and HVR migrations, we develop and set up the necessary migration tools and access products using a test-driven development process. We build a metadata inventory and use a version control system for greater productivity and to make maintenance and future optimization easier. Our proprietary automation toolset includes tooling and frameworks for UDF conversion, DDL conversion and data type optimization and can save hundreds of work hours through automation while altering the source architecture to enable cloud-native services and solutions. Before going live with the new architecture, we verify the results by compiling, triggering and comparing the migrated code to the source using programmatic testing. The client can monitor and test the migration results for continuous insights on object availability, data quality and latency and more using a custom-developed browser application.

Go-Live and Hypercare

We schedule the go-live for the new, cloud-based architecture and organize the transfer of knowledge gained and employed during the migration to the customer, notifying key up- and downstream teams. By sharing best practices and documentation, we help the customer provide better in-house maintenance and optimization. Starschema provides hypercare for an agreed-on period after the cutover and helps reduce the manual labor required for monitoring and promote predictive maintenance using our state-of-the-art operation monitoring systems, future-proofing the client’s cloud environment.

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.

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AWS Cloud Migration

A proven framework for flexible and effective enterprise-scale migration, supported by customizable proprietary automation tools to enable clients to quickly realize the benefits of the cloud and fully leverage AWS-native solutions and services to achieve operational efficiency and competitive advantage.

Enterprise-Scale AWS Cloud Migration

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.

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.

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.