Enterprises need to continuously modernize their architecture and migrate to the cloud.
By modernizing, organizations can better respond to dynamic business requirements as migrations to microservices have become prevalent. For seamless business operations and to future-proof enterprise systems, the transformation and migration of applications and data to a cloud environment is inevitable.
Seamless data migration is far more complex than the usual modernization estimations due to the lack of documentation of data models, functional implications, and various constraints of the data or data models. This makes adopting a best-fit implementation to converge data from diverse sources while maintaining business continuity quite a challenge.
Key challenges in migrating data to the cloud include:
Lack of effective strategies
Budget-consuming migration process
Complex IT architecture
Security and regulatory compliance
Key drivers for enterprises to migrate data to the cloud are:
Real-time data for analytics
Increased flexibility and scalability
Data exchange and interoperability
Reduced operational costs
Dynamic business scalability
Data transformation is a critical component of legacy modernization.
Data transformation ensures that valuable data is preserved, improved, and seamlessly integrated into a modernized system with minimal business disruptions, enabling an organization’s business continuity.
TCS MasterCraftTM is a one-stop shop for cloud data migration with workbenches for data extraction, migration, and transformation of both legacy (mainframe) and relational databases. TransformPlus provides a framework for executing end-to-end data migration projects from discovery to the implementation phase. Various scenarios handled for data migration are:
Database as a service (DBaaS) on the cloud
Software as a service (SaaS) application on the cloud
Public/private/community cloud migration
On-premises database to cloud migration
Our capability enables data transformation/migration to the desired environment with:
Capture and refresh of metadata: Captures metadata and stores it in a product repository for its relational structure, either by uploading a metadata file or by connecting to a database. The connect cloud database (DB) feature enables users to capture metadata from DBs that are hosted on the cloud. The product supports unstructured data types such as JSON data and Binary JSON data. The intelligent feature of the product, refresh metadata, helps to capture dynamic changes in metadata during a migration scenario enabling a hassle-free, zero-defect transformation.
Mapping design: Enables users to define the relationship among the source, target, and intermediate tables, as well as setting mapping or transformation rules for target and intermediate fields. It eliminates manual efforts of mapping attributes by using intelligent auto-linking of source and target/intermediary attributes. The real-time mapping design changes in the database are updated to table and attribute level with intelligent edit capabilities.
Automated code extraction and generation: Automates data extraction and code generation from COBOL to migrate legacy, non-relational source databases to relational equivalent structures using intelligent product features. Our product, with highly efficient schema conversion capabilities, can convert database schema through automation requiring minimal user input.
Traceability reporting: Provides end-to-end details of rules and mappings defined for multi-step data transformation processes from source to target at each level. Users can view rule details defined for fields of intermediate/target tables and associated fields of source/intermediate tables for frozen as well as unfrozen mapping designs.
Migration execution: Enables users to schedule and monitor the complete transformation while executing data migration code within the product, enhancing the user experience.
NoSQL transformation: Supports users in the conversion of relational data to equivalent JSON format and stores it into a NoSQL DB or files. Users can efficiently migrate source DBs to various NoSQL target DBs which can be on-premises or on different types of cloud.
Why TCS MasterCraftTM for cloud data migration?
Zero-spill and error-free migration: Automate product-based approaches leading to seamless, error-free migrations.
Reusability: Leverage the capability, project experience, and knowledge in subsequent projects, increasing your ROI.
Auto-mapping design: Save 50-60% of your time in mapping source and target attributes. Eliminate manual efforts of mapping attributes by using intelligent auto-linking of source and target/intermediary attributes.
Faster time-to-market: Accelerate migration through automation in line with the agile needs of today’s businesses.
Flexibility, adaptability, and agility: Quickly adapt to dynamic metadata changes within the lifecycle of the data migration.
Proven expertise: Leverage the experience and best practices TCS has provided to multiple similar customer engagements.
Data migration factory: Migrate large-scale data in parallel leveraging the TCS data migration factory model by ensuring increased reusability leading to higher efficiency and productivity. Previously mentioned intelligent features are leveraged for multi-source and multi-country factory models.