JanusGraph Training in Metro Manila, Philippines

This course covers:

• Understanding Graph Databases & JanusGraph Architecture

• Data Modeling & Querying with Gremlin

• Scalability and Performance Optimization in JanusGraph

• Integrating JanusGraph with Big Data & Cloud Services

• Security, Access Control & Multi-Tenancy in JanusGraph

• Hands-on labs with real-world graph use cases

Course Agenda

Introduction to Graph Databases & JanusGraph

• What is a Graph Database?

• Introduction to JanusGraph and its use cases

• JanusGraph vs Neo4j and other graph databases

• Overview of distributed storage backends (Cassandra, HBase, BerkeleyDB)

JanusGraph Architecture & Setup

• JanusGraph components and deployment models

• Setting up JanusGraph on local and cloud environments

• Choosing the right backend storage and indexing solution

• Configuring JanusGraph for scalability

Graph Data Modeling in JanusGraph

• Understanding vertices, edges, and properties

• Data modeling best practices for large-scale graphs

• Implementing indexing strategies (ElasticSearch, Lucene)

• Managing schema evolution in JanusGraph

Querying with Gremlin

• Introduction to the Gremlin query language

• Basic traversal operations: finding nodes and relationships

• Advanced traversals: path queries, aggregations, and pattern matching

• Writing efficient Gremlin queries for performance optimization

Performance Optimization & Scaling

• Indexing strategies for fast queries

• Caching and replication for high availability

• Distributed execution of Gremlin queries

• Performance tuning and benchmarking techniques

JanusGraph Integration with Big Data & Cloud Services

• Using JanusGraph with Apache Spark for graph analytics

• Integrating JanusGraph with Elasticsearch for full-text search

• Deploying JanusGraph on AWS, Azure, and Google Cloud

• Streaming graph data with Kafka and JanusGraph

Security, Access Control & Multi-Tenancy

• Implementing authentication and authorization in JanusGraph

• Securing data with encryption and access control lists (ACLs)

• Managing multi-tenancy in a large-scale graph database

Hands-on Labs & Case Studies

• Building a recommendation system with JanusGraph

• Analyzing social networks with Gremlin queries

• Implementing fraud detection using graph analytics

• Best practices and troubleshooting tips for JanusGraph