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Discovery and planning in graph technology involves analyzing your data needs, identifying relationship patterns, and defining the best graph database approach. This stage ensures the solution aligns with your business goals and prepares a clear roadmap for development.
Designing and architecting a graph solution includes creating an optimized data model, selecting the right graph database, and defining system architecture. This step focuses on scalability, query performance, and efficient storage to support long-term growth.
Implementation and integration involve building custom graph algorithms, developing queries, and connecting the graph database to your existing systems. This ensures seamless data flow, real-time insights, and compatibility with your business tools.
Support and maintenance for graph technology involve monitoring system performance, applying updates, and troubleshooting issues. This ensures your graph database remains secure, up-to-date, and capable of handling evolving business data demands.