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1
Introduction
2
Outline
3
Who am I
4
My first rule system
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Choosing a graph database
6
Building a graph database
7
What is a graph database
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What is graph theory
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Alternative representation
10
Entities
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Nodes
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Query
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Looking for First Names
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First Example
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Wrapping Data
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Nested Maps
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Storing Data durably
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Statement IDs
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Data types
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Buffers
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Closure Protocols
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Updating a Graph
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Transactions
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timestamps
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merging data
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loading data in 2 lines
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real world case
28
grail VM
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Packet Capture
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Other stuff
31
Whats next
32
Questions
Description:
Explore the world of graph databases with this Strange Loop Conference talk on Asami, an open-source graph database. Learn how to transform JSON into a graph using just two lines of Clojure code. Discover Asami's unique features, including functional and time-travel operations similar to Datomic, as well as its schema-less approach inspired by RDF. Delve into the architecture that enables novel graph analysis operations and provides an SQLite-like experience for graph databases. Follow along as the speaker demonstrates how to load and index flexible data structures, query using familiar APIs, and leverage various storage options. Gain insights into Asami's applications in graph analysis, data processing, and infrastructure development. Perfect for developers interested in efficient data management and graph database technologies.

Turn Your JSON into a Graph in 2 Lines

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