Session
Cosmos DB for everyone using Graphistry' no-code and low-code GPU visual graph analytics
with Leo Meyerovich
From security and fraud to sales and marketing, teams are adopting graph analytics to understand the relationships across their data. Cosmos DB solves how to execute Gremlin graph queries, which is great for software. However, for people in an organization to also successfully harness graph reasoning by exploring and interacting with their data, they also need tools. We share how to bridge those gaps by combining Cosmos DB with Graphistry. Whether it's a business analyst needing a customer 360, an investigator scoping an incident, a data scientist iterating on a model, or a developer building solutions, we'll share examples of how to quickly explore their Cosmos DB data and create point-and-click graph solutions. Importantly, we show how to specialize the interaction style to their preference on coding vs point-and-click.
Our talk focuses on three emerging capabilities in visual graph computing for enabling Cosmos DB analysts: No-code visual graph analysis for everyone, low-coding specialized for analysts vs researchers vs engineers, and scaling visual insights with GPUs. We'll use examples from our enterprise and federal uses such as on identity data, logs, ML, and social media.
From security and fraud to sales and marketing, teams are adopting graph analytics to understand the relationships across their data. Cosmos DB solves how to execute Gremlin graph queries, which is great for software. However, for people in an organization to also successfully harness graph reasoning by exploring and interacting with their data, they also need tools. We share how to bridge those gaps by combining Cosmos DB with Graphistry. Whether it's a business analyst needing a customer 360, an investigator scoping an incident, a data scientist iterating on a model, or a developer building solutions, we'll share examples of how to quickly explore their Cosmos DB data and create point-and-click graph solutions. Importantly, we show how to specialize the interaction style to their preference on coding vs point-and-click.
Our talk focuses on three emerging capabilities in visual graph computing for enabling Cosmos DB analysts: No-code visual graph analysis for everyone, low-coding specialized for analysts vs researchers vs engineers, and scaling visual insights with GPUs. We'll use examples from our enterprise and federal uses such as on identity data, logs, ML, and social media.
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