Gartner predicts that "the application of graph processing and graph databases will grow 100% annually through 2022 to continuously accelerate data preparation and enable more-complex and adaptive data science." The jury is in - performing these sorts of graph algorithms or employing Graph technology is a must-have now for many enterprises. Graph technology, however, remains a relatively young field with many offerings from which to choose. How do you approach selecting from the 15+ Graph vendors, and which features are most important? There is an overwhelming amount of information and complexity. Join us for this webinar as we demystify the complexity and bring clarity to the selection process.
During this webinar, we'll dive into the factors that business and technical leaders should consider when making technology choices for Graph processing and how to apply them for your particular industry and use cases.
KEY LEARNING TOPICS:
Session 1 (12 Min): Organizational Readiness: Graph database overview; how use cases affect product selection; Graph DB differentiation
Session 2 (12 Min): Graph Product Shoot Out: what specs matter; measuring performance against your use case; ML & Integration
Session 3 (12 Min): How to Build Enterprise Applications: data connections; using Graph to visualize use cases; Graph and API Integrations
Session 4 (12 Min): Constructing the Business Case: total database cost comparisons; cost of implementation and maintenance
Session 5 (5 min): Open Q&A