BigDataAnalysen
BigDataAnalysen is the systematic process of collecting, cleaning, integrating, analyzing, and interpreting large-scale data sets to extract actionable insights. The term emphasizes both the scale of data and the analytical methods applied. In practice, BigDataAnalysen combine descriptive, diagnostic, predictive, and prescriptive analytics to support decision making, optimization, and innovation.
Data sources are heterogeneous, including transactional databases, log files, social media, sensor networks, images and videos,
Technologies include data storage in data lakes or data warehouses; distributed processing with frameworks such as
Governance and privacy are essential, covering data quality, lineage, metadata management, security, and compliance with regulations
Challenges include data quality and integration, interoperability, storage and compute costs, talent shortages, latency, and ensuring
Applications span finance, marketing, manufacturing, healthcare, public sector, and research, including fraud detection, customer segmentation, predictive
The field is evolving toward lakehouse architectures, data meshes, real-time analytics, and AI-assisted analysis, with increasing