Big-BOE: Fusing Spanish Official Gazette with Big Data Technology.

Area of Science:

• Computer Science
• Data Science
• Information Technology

Background:

• Increasing data sources and computing power drive new analytical approaches.
• Internet of Things (IoT) data requires efficient, parallel processing.
• Existing methods may not meet the demands of large-scale data analytics.

Purpose of the Study:

• To present the BIG-Boletín Oficial del Estado (BOE) initiative.
• To reduce computation time for processing the Spanish official gazette.
• To enhance big data analytics capabilities for government data.

Main Methods:

• Utilizing state-of-the-art processing engines for the BOE.
• Implementing a big data infrastructure for parallel document processing.
• Architectural and performance analysis of the processing engine.

Main Results:

• Demonstrated significant reduction in computation time.
• Achieved speed-up for big data analysts processing the BOE.
• Evidence of improved performance for simple analytics through parallel processing.

Conclusions:

• The BIG-BOE infrastructure effectively processes large volumes of official documents.
• Parallel computing significantly enhances the speed and efficiency of data analysis.
• This approach offers a scalable solution for big data challenges in public administration.