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Course Outline
Introduction
- Graph databases and libraries
Understanding Graph Data
- The graph as a data structure
- Using vertices (dots) and edges (lines) to model real-world scenarios
Using Graph Databases to Model, Persist and Process Graph Data
- Local graph algorithms/traversals
- neo4j, OrientDB and Titan
Exercise: Modeling Graph Data with neo4j
- Whiteboard data modeling
Beyond Graph Databases: Graph Computing
- Understanding the property graph
- Graph modeling different scenarios (software graph, discussion graph, concept graph)
Solving Real-World Problems with Traversals
- Algorithmic/directed walk over the graph
- Determining circular cependencies
Case Study: Ranking Discussion Contributors
- Ranking by number and depth of contributed discussions
- A note on sentiment and concept analysis
Graph Computing: Local, In-Memory Graph toolkits
- Graph analysis and visualization
- JUNG, NetworkX, and iGraph
Exercise: Modeling Graph Data with NetworkX
- Using NetworkX to model a complex system
Graph Computing: Batch Processing Graph Frameworks
- Leveraging Hadoop for storage (HDFS) and processing (MapReduce)
- Overview of iterative algorithms
- Hama, Giraph, and GraphLab
Graph Computing: Graph-Parallel Computation
- Unifying ETL, exploratory analysis, and iterative graph computation within a single system
- GraphX
Setup and Installation
- Hadoop and Spark
GraphX Operators
- Property, structural, join, neighborhood aggregation, caching and uncaching
Iterating with Pregel API
- Passing arguments for sending, receiving and computing
Building a Graph
- Using vertices and edges in an RDD or on disk
Designing Scalable Algorithms
- GraphX Optimization
Accessing Additional Algorithms
- PageRank, Connected Components, Triangle Counting
Exercis: Page Rank and Top Users
- Building and processing graph data using text files as input
Deploying to Production
Closing Remarks
Requirements
- An undersanding of Java programming and frameworks
- A general understanding of Python is helpful but not required
- A general understanding of database concepts
Audience
- Developers
28 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 6400 € + VAT*
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Testimonials (3)
She was very well verse with the material. Very nice, engaging. She always pauses to ask if there are questions or clarifications.
Jones Manlapaz - Nordstern Group
Course - Introduction to Semantic MediaWiki
Very nice training
Maira Frisch - Novartis Pharma AG
Course - SPARQL
He was interactive.
