Data Estate Modernization on AWS Analytics Platform by Kyndryl Services

As many organizations lack the skillset to migrate data from legacy systems to modern cloud-based AWS data analytics platforms, Kyndryl can not only bridge skill gaps in migrating data to AWS Redshift and AWS Lake Formation but also help you improve efficiency and reduce cost.

Services offered by Kyndryl can be categorized into the following services:

Advisory: Kyndryl consultants will closely work with your team to

• Identify business use cases, IT requirements, priorities, and constraints.
• Identify the source system and data integration mechanism.
• Identify applications and their interdependency for modernization.
• assess data warehouse or data lake architecture.
• Quantify the ROI of migration for the business case, and
• Build strategy and roadmap.

Assessment: Kyndryl’s cloud readiness assessment for data warehouse or data lake helps you to :

• Assess the Datasets to migrate.
• Assess the transformations and ingestion jobs for re-hosting, re-platforming, or re-architecting.
• Define dependency mapping, grouping, and prioritization.
• Identify security and compliance requirements.
• Assess the volume, velocity, and verity of the dataset for data platform sizing, and
• Assess data consumption patterns.

Design and Build: As part of the data modernization journey, experienced Kyndryl consultants will deliver:

• A data platform architecture and design
• A detailed migration schedule and tool selection for migration
• A design for replication, ETL/ELT loads, and migration
• Integration of existing and target data environments
• Implementation of monitoring, Active Directory, security, etc.
• Data consumption enablement and governance.

Migration: Once the assessment, design, and build phases are complete, to migrate the data from the legacy platform to AWS’s modern Analytics platform, Kyndryl’s skilled resources will:

• Create target data platforms for pilot, staging, and production.
• Work on dataset migration, ETL, data platform configuration, etc.
• Execute data migration in batches and waves.
• Perform data verification, quality assurance, user acceptance, and production cutover.
• Document relevant system details and transition environments to operations/managed services team.

Throughout this process, Kyndryl’s objective is to reduce the disruption to the report consumption by the end-users by migrating the data in batches by following the factory model.

Why choose Kyndryl

Kyndryl’s exceptional Data and AI team covers the complete stack, driving legacy modernization, data platforms, data governance, etc, to improve efficiency and reduce risk. Phased migration approach to mitigate the business impact risk and ensures complete validation of AWS solution through the parallel run. As the largest Infrastructure Implementation and Managed Services Provider globally, Kyndryl possesses significant experience in all industries in managing sensitive data for thousands of enterprise customers and can enable you to maximize the value of your organization’s data on the AWS data platform.

Deep AWS expertise – with nearly 4,500 AWS certifications and growing, Kyndryl has the expertise and experience to design, build, and manage mission-critical, complex systems on AWS.

Industry experts – Kyndryl’s experienced consultants have worked across various industries to deliver scalable and security-enabled solutions on the AWS platform to run mission-critical applications from banks and airlines to manufacturing and healthcare industries.

Continuous Innovation – as the world’s largest IT infrastructure services provider, we provide experts, IPs, and tools with the flexibility to adapt to our customers’ needs. Discover how Kyndryl can help you reach your business and technology goals on AWS Data and Analytics Platform with a 30-minute, no-cost strategy session with a Kyndryl AWS expert. Contact your Kyndryl representative or visit us at kyndryl.com