Big Data Management

The objective of big data organization is to ensure a high level of data quality and accessibility for business intelligence and big data analytics uses. Corporations, government agencies and other organizations employ big data management strategies to help them struggle with fast-growing pools of data, typically involving many terabytes or even petabytes of information saved with different file formats. Effective big data management helps companies locate valuable information in big sets of unstructured data and semi-structured data from a selection of sources, including call detail records, system logs and social media sites.

  • Search and Mining of variety of data including scientific and engineering,social,sensor/IoT/IoE, and multimedia data
  • Algorithms and Systems for Big Data Search
  • Distributed, and Peer-to-peer Search
  • Big Data Search Architectures, Scalability and Efficiency
  • Data Acquisition, Integration, Cleaning, and Best Practices
  • Visualization Analytics for Big Data
  • Computational Modelling and Data Integration
  • Large-scale Recommendation Systems and Social Media Systems
  • Cloud/Grid/Stream Data Mining- Big Velocity Data Link and Graph Mining
  • Semantic-based Data Mining and Data Pre-processing
  • Mobility and Big Data
  • Multimedia and Multi-structured Data- Big Variety Data

Big Data Management Conference Speakers

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