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SKU/Artículo: AMZ-B0DJ3THSTY
Mastering Graph Databases with Neo4j: : An In-Depth Guide to Harnessing the Power of Connected Data
Format:
Kindle
Detalles del producto
Disponibilidad:
Fuera de stock
Fuera de stock
Peso con empaque:
0.94 kg
0.94 kg
Devolución:
No
No
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Mastering Graph Databases with Neo4j: An In-Depth Guide to Harnessing the Power of Connected Data Chapter Outline:Introduction to Graph Databases and Neo4jOverview of graph databasesImportance of relationships in dataWhy Neo4j?Real-world use cases for graph databasesInstalling and Setting Up Neo4jNeo4j installation on various platformsUsing Neo4j Desktop, Aura, and SandboxGetting familiar with Neo4j Browser and Neo4j DesktopUnderstanding Graph Theory FundamentalsNodes, relationships, and propertiesGraph data structures and typesKey graph theory concepts relevant to Neo4jData Modeling in Neo4jPrinciples of graph data modelingBuilding your first graph modelBest practices in designing graph schemasIntroduction to Cypher Query LanguageThe basics of CypherCreating nodes, relationships, and propertiesSimple queries with CypherAdvanced Cypher QueriesPattern matching in CypherUsing aggregations, filtering, and sortingExploring more complex queries and optimization techniquesImporting and Managing Data in Neo4jImporting CSV and JSON dataUsing Neo4j’s ETL toolsData integration from external databases and APIsIndexing and Constraints in Neo4jCreating and managing indexesDefining and enforcing constraintsImproving query performance with indexingGraph Algorithms with Neo4jIntroduction to graph algorithmsUsing built-in algorithms (PageRank, shortest path, etc.)Applying graph algorithms to real-world scenariosBuilding Graph-Based ApplicationsConnecting Neo4j with popular programming languages (Python, Java, JavaScript)Using Neo4j drivers and frameworksBuilding a simple graph-based applicationNeo4j for Machine Learning and AILeveraging graph data for machine learningIntegrating Neo4j with AI frameworksCase studies and examplesScaling Neo4j for Large-Scale ApplicationsCluster setup and high availabilitySharding and replication strategiesBest practices for scaling and performance optimizationSecurity and Access Control in Neo4jAuthentication and authorization in Neo4jRole-based access controlEncrypting data and securing connectionsNeo4j in the Cloud and Hybrid EnvironmentsDeploying Neo4j in cloud environments (AWS, Azure, GCP)Using Neo4j Aura for managed cloud servicesBest practices for cloud-based graph databasesReal-World Case Studies and Future of Neo4jCase studies of successful Neo4j implementationsTrends in graph databases and Neo4j's roadmapPreparing for the future of connected dataNow I Would like to make modifications to this outline…
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