Data migration is critical for enterprises looking to upgrade their system or server, consolidate storage hardware, and change databases, data centers, or data formats between Hard Disk Drive (HDD) to Solid State Drive (SSD). Data migration needs proper planning, knowledge, and teamwork to meet objectives. A defined and planned migration process ensures data is transferred successfully and securely, preventing corruption or loss from using incompatible devices or poor data execution.

Data lies at the root of digital transformation. Hence, efficient handling of large volumes of data has become critical for enterprises. The demand for real-time analysis of data from connected systems to be delivered to stakeholders is a challenging process. The need for rapid decision-making based on data and tight competition has given rise to new data management methods.

An efficient enterprise data architecture serves as a fool-proof source of product and service information that can address specific business needs. Data fabric architecture consolidates knowledge graphs, data integration, AI, and metadata capabilities to ensure there is consistent access and exchange of data across the organization. It stores data in a centralized structured repository as well. Data fabric architecture is an industry-agnostic concept; that is relevant across domains.

Let us first understand the main components of data fabric architecture.