Diploma in Graph Analytics Pipeline Production
About us Diploma in Graph Analytics Pipeline Production
The Diploma in Graph Analytics Pipeline Production trains participants in the design and development of data pipelines for graph analysis, covering everything from data extraction and transformation to visualization and advanced analysis. It focuses on the use of tools such as Neo4j, Apache Spark, and Python, preparing participants to implement solutions in areas such as fraud detection, recommendation, social network analysis, and relationship analysis. It emphasizes process optimization for scalability and the integration of heterogeneous data.
The diploma program offers hands-on experience in implementing ETL (Extract, Transform, Load) pipelines and applying Machine Learning techniques to graphs, using Agile methodologies. This training prepares students for roles such as data engineers, graph data scientists, and data analysts, boosting analytical skills for data-driven decision-making and process optimization across various industries.
Target keywords (natural in the text): data pipelines, graph analytics, Neo4j, Apache Spark, graph analysis, ETL, machine learning, fraud detection, social network analysis, Python, data engineering.
Diploma in Graph Analytics Pipeline Production
- Format: Online
- Duration: 8 months
- Hours: 900 H
- Language: ES / EN
- Credits: 60 ECTS
- Registration date: 04-07-2026
- Strat date: 14-08-2026
- Available places: 7
1.499 $
Competencias y resultados
Qué aprenderás
1. Deep Mastery of Graph Analytics Pipeline Production
Para quien va dirigido nuestro:
Diploma in Graph Analytics Pipeline Production
9.9 Introduction to Pipeline Architecture for Graph Analytics
9.9 Pipeline Design: Key Components and Data Flow
9.3 Data Ingestion in Graph Pipelines: Sources and Formats
9.4 Data Transformation: Cleaning, Normalization, and Enrichment
9.5 Graph Processing: Algorithms and Analytical Techniques
9.6 Graph Storage and Indexing: Performance Optimization
9.7 Visualization and Reporting of Results: Presenting Insights
9.8 Pipeline Monitoring and Management: Control and Optimization
9.9 Scalability and Flexibility in Pipeline Architecture
9.90 Integration with Tools and Platforms: Practical Implementation
9.90
Proyectos tipo capstones
Admisiones, tasas y becas
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