PuppyGraph Blog

Learn what data lake security is, why it matters, key challenges, security components, benefits, compliance requirements, and best practices.

Learn what OCSF is, how the Open Cybersecurity Schema Framework works, its taxonomy, event classes, data types, benefits, use cases, and OCSF vs ECS.

Learn what Apache Ossie is, how its semantic model works, and how it enables interoperability across BI, analytics, AI agents, and data platforms.

Learn how network threat hunting works, including techniques, tools, threat intelligence, SIEM, NDR, MITRE ATT&CK, use cases, and best practices.

Learn what ontology engineering is, how to build enterprise ontologies, key methodologies, tools, AI use cases, knowledge graphs, governance, and best practices.

Learn what semantic analytics is, how it works, its benefits, use cases, architecture, and how semantic layers enable AI-powered analytics.

Learn how network analysis helps AML teams detect hidden relationships, suspicious transaction patterns, money laundering networks, and financial crime risks.

Learn what AI agents are, how they work, their key components, types, use cases, benefits, architecture, and role in enterprise AI.

Learn how agentic graph systems combine AI agents and graph-based knowledge to improve reasoning, context, decision-making, and autonomous workflows.

Learn how Neo4j scales for large graph workloads, including clustering, read replicas, sharding, query performance, architecture, and best practices.

Learn how Neo4j distributed databases work, including clustering, data distribution, transactions, scaling, architecture, and enterprise deployment.

Learn how Neo4j powers AI applications with knowledge graphs, GraphRAG, vector search, AI agents, and generative AI use cases.

Discover what a graph data warehouse is, how it works, its architecture, benefits, use cases, and how graph data warehouses support analytics, AI, and knowledge graphs.

Learn what multi-hop reasoning is, how AI systems perform multi-step reasoning, and how knowledge graphs, GraphRAG, and AI agents improve complex reasoning.

Learn what a graph lakehouse is, how graph lakehouse architecture works, its benefits and use cases, and how it supports AI, knowledge graphs, and GraphRAG.