Sold by: Cybage Software Inc.
Transform legacy data platforms into modern, secure, scalable, AI-ready cloud data ecosystems on AWS.
Overview
Data Modernization Service is a comprehensive professional services offering that helps organizations modernize legacy data platforms into scalable, cloud-native, governed, and AI-ready data ecosystems on Amazon Web Services (AWS).
Many enterprises rely on fragmented databases, legacy ETL pipelines, on-premises data warehouses, siloed business intelligence platforms, and manual data integration processes that limit agility, increase operational costs, and slow decision-making. These environments create inconsistent data quality, governance challenges, limited scalability, and difficulty supporting advanced analytics and AI initiatives.
Cybage delivers an end-to-end data modernization framework that transforms enterprise data into a trusted strategic asset while minimizing business disruption.
The engagement begins with a comprehensive Data Modernization Assessment evaluating current data architecture, data sources, storage platforms, integration pipelines, governance maturity, analytics capabilities, security posture, and AI readiness. Based on the assessment, Cybage develops a modernization roadmap aligned with business priorities, regulatory requirements, and measurable outcomes.
Key capabilities include: Enterprise Data Strategy, Data Architecture Assessment, Data Platform Modernization, Data Lake and Lakehouse Implementation, Enterprise Data Warehouse Modernization, Data Migration and Database Migration, ETL/ELT Modernization, Real-Time Data Streaming, Master Data Management, Data Quality and Metadata Management, Data Catalog Implementation, Data Governance and Lineage, Data Security and Privacy, Data Observability, Business Intelligence Modernization, Self-Service Analytics, AI and ML Data Preparation, DataOps Automation, and Cost and Performance Optimization.
Modern data platforms are built using AWS managed services including Amazon S3, Amazon Redshift, Amazon Redshift Serverless, AWS Lake Formation, AWS Glue, Amazon Athena, Amazon EMR, Amazon Kinesis, Amazon MSK, AWS DMS, AWS DataSync, Amazon RDS, Amazon Aurora, Amazon DynamoDB, Amazon OpenSearch Service, Amazon QuickSight, AWS Lambda, Amazon EventBridge, AWS Step Functions, Amazon CloudWatch, AWS IAM, AWS KMS, and AWS CloudFormation.
Generative AI capabilities can be incorporated using Amazon Bedrock, Amazon SageMaker AI, and Amazon Q to build enterprise knowledge platforms, intelligent search, RAG, AI copilots, document intelligence, recommendation systems, predictive analytics, and conversational analytics.
Cybage applies automation accelerators for data profiling, schema discovery, metadata extraction, lineage mapping, pipeline modernization, data validation, quality monitoring, reconciliation, and testing.
The service supports modernization from Oracle, Microsoft SQL Server, IBM Db2, Teradata, Netezza, Snowflake, Hadoop, Cloudera, MongoDB, Cassandra, PostgreSQL, MySQL, SAP databases, flat files, enterprise applications, and third-party SaaS platforms.
Business outcomes include unified enterprise data platforms, improved data quality and trust, faster analytics and reporting, real-time business intelligence, reduced data management costs, improved regulatory compliance, enterprise-wide data governance, AI-ready data foundations, and increased business agility.
Highlights
- Modern Cloud Data Platform - Modernize legacy data warehouses and fragmented data environments into scalable cloud-native data lakes and lakehouse architectures using AWS managed analytics services, enabling enterprise-wide analytics, operational efficiency, and reduced data management costs.
- AI-Ready Data Foundation - Prepare enterprise data for Artificial Intelligence and Generative AI by implementing governed, high-quality, discoverable, and trusted data platforms that support machine learning, predictive analytics, intelligent search, and Retrieval-Augmented Generation (RAG) using Amazon Bedrock and Amazon SageMaker AI.
- Enterprise Data Governance and Analytics - Implement enterprise-grade governance, metadata management, data lineage, security, privacy, quality monitoring, DataOps automation, and self-service analytics while improving business intelligence and accelerating insight generation across the organization.
Details
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Delivery method
Deployed on AWS
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Support
Vendor support
Cybage provides comprehensive support for Data Modernization engagements including Data Architecture Consulting, Data Platform Assessment, Migration Planning, AWS Funding Guidance, Data Governance Strategy, Analytics Enablement, Managed Data Operations, and Technical Support. Contact the team at business@cybage.com or visit https://www.cybage.com to discuss your modernization requirements and engagement options.