Prof Smoke
From Tables to Graphs in Minutes: Supercharging Kusto Graph Analytics with AI-Powered Development
#1about 3 minutes
Introducing Kusto for interactive analytics at Microsoft scale
Kusto is a big data analytics platform optimized for interactive workloads on trillions of rows and petabytes of data.
#2about 3 minutes
Why graph technology was embedded into the Kusto engine
Internal security teams drove the integration of graph capabilities directly into the relational engine to analyze data where it resides.
#3about 3 minutes
Defining persistent graphs using JSON-based models
Persistent graphs are defined using a JSON object that specifies an optional schema and a series of steps for adding nodes and edges.
#4about 5 minutes
Querying graph data using KQL's match operator
KQL enables powerful graph analysis by combining time-series anomaly detection with graph pattern matching inspired by Cypher.
#5about 4 minutes
Automating graph creation with a custom AI assistant
A custom AI assistant built with GitHub Copilot and MCP servers automates the tedious manual process of inferring graph models from tables.
#6about 6 minutes
AI demo for generating cybersecurity graph models
Watch how an AI agent analyzes table schemas, proposes a lateral movement scenario, and automatically generates the graph model and queries.
#7about 3 minutes
Visualizing large-scale graphs with the Graphistry integration
A new connector to Graphistry uses GPUs to render millions of nodes and edges from Kusto for advanced visualization.
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An introduction to graph analytics for software systems
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Demo of extracting conference data into a graph
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How GitHub Copilot and Overflow AI complement each other
Collaborative Intelligence: The Human & AI Partnership
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Answering questions on deployment, performance, and tooling
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Exploring real-world use cases for knowledge graphs
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Live demonstration of deploying Azure resources from a prompt
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Q&A on Copilot licensing and Codespaces access
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