Introduction to graph processing
The training provides a thorough introduction to the concepts and practical applications of graph processing in the context of Big Data. The program combines the theoretical foundations of graph theory with practical applications in real business scenarios. Participants, through hands-on workshops, will learn methods for designing, implementing and optimizing graph-based solutions, with a focus on system performance and scalability.
Issues
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Graph theory and its applications
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Graph algorithms
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Data structures for graphs
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Distributed graph processing
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Graph queries
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Performance optimization
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Graph visualization
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Network analysis
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Pattern detection
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Recommendation systems
Benefits
- Gain a solid theoretical foundation in graph processing
- Develop practical skills for implementing graph-based solutions
- Advanced techniques for analysis and visualization of graph structures
- Design efficient graph processing systems
- Optimizing graph queries in a Big Data environment
- Graph data modeling
Who is this training for?
Prerequisites
- Basic knowledge of algorithms and data structures
- Experience in object-oriented programming
- Knowledge of the basics of set theory
- Basic knowledge of databases
Training program
Concepts and terminology of graphs
- Types of graphs and their properties
Graph algorithms
- Data modeling in graphs
- Implementation of graph solutions
- Data structures for graphs
- Graph processing in a distributed environment
- Queries and graph traversals
Optimizing graph queries
- Analysis and visualization of graphs
- Graph metrics and measures
- Graph visualization techniques
- Detecting patterns in graphs
- Analysis of paths and connections
Practical applications
- Recommendation systems
Social network analysis
- Fraud detection
- Route optimization and logistics
Delivery Methods
Online
- Convenience of participating from anywhere
- Interactive live sessions with trainer
- Materials available for 30 days
- No travel costs
On-site
- Direct contact with trainer and group
- Intensive hands-on workshops
- Networking with other participants
- Full focus on learning
Frequently asked questions
Who is the Introduction to graph processing training for?
This training is designed for professionals looking to develop skills in introduction to graph processing. Required level: beginner.
How long is the Introduction to graph processing training?
The training lasts 4. Available in online or on-site format.
Will I receive a certificate?
Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.
Can this training be conducted for a closed group?
Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.
Request a quote
Funding Options
Check funding options for your company
Development Services Database
Up to 80% funding for SMEs from EU funds
Check availabilityNational Training Fund
Up to 100% funding for employers
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We train teams at Poland's largest companies
Interested in this training?
Contact us - we'll prepare an offer tailored to your organization's needs.