Graph Analysis for Supply Chain Optimization — Memgraph Lab Demo with Real-Time Algorithm
Автор: Memgraph
Загружено: 2024-08-13
Просмотров: 350
In this video, Josip, Head of Solutions at Memgraph, demonstrate how to use Memgraph Lab for supply chain analysis and optimization.
This video:
Explores Memgraph's supply chain management collection
Analyzing the Supply Chain Dataset
Demonstartes beadth-first search and ingredients
Explains custom procedures and query modules
Connect nodes module
Leverages projection and subgraph
Showcases custom analysis with query modules
Whether you're new to #GraphAnalysis or looking to optimize your #SupplyChainOperations, this demo offers valuable insights and practical applications of #Memgraph's capabilities.
Learn more about Memgraph for Supply Chain Optimization: https://memgraph.com/use-cases#logist...
#GraphDatabase #graphalgorithms
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00:00 - Introduction
01:53 - Supply Chain Management Collection
04:30 - Analyzing the Supply Chain
05:56 - BFS and Ingredients
08:26 - Custom Procedures and Query Modules
10:24 - Connect Nodes Module
12:21 - Projection and Subgraph
15:18 - Custom Analysis with Query Modules
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About Memgraph:
Memgraph offers a light and powerful graph platform comprising the Memgraph Graph Database, MAGE Library, and Memgraph Lab Visualization. Memgraph is a dynamic, lightweight graph database optimized for analyzing data, relationships, and dependencies quickly and efficiently.
It comes with a rich suite of pre-built deep path traversal algorithms and a library of traditional, dynamic, and ML algorithms tailored for advanced graph analysis, making Memgraph an excellent choice in critical decision-making scenarios such as risk assessment (fraud detection, cybersecurity threat analysis, & criminal risk assessment), 360-degree data and network exploration [Identity and Access Management (IAM), Master Data Management (MDM), & Bill of Materials (BOM)], and logistics and network optimization.
Website: https://www.memgraph.com
Twitter: / memgraphdb
LinkedIn: / memgraph
Facebook: / memgraph
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