A System for In-situ Visual Exploration & Analytics

RawVis system enables efficient in-situ visual exploration and analytics directly over big raw data files without the need of an underlying DBMS or a query engine. Adaptive indexing schemes are employed enabling real-time interaction, reporting low response time, over large data files, using commodity hardware.






>_ Resources

       online tool     |     source code     |     poster     |     video presentation


>_ Publications

  _ Resource-Aware Adaptive Indexing for In-situ Visual Exploration and Analytics, VLDB Journal 2023
  _ RawVis: A System for Efficient In-situ Visual Analytics, SIGMOD 2021
  _ In-Situ Visual Exploration over Big Raw Data, Information Systems, Elsevier, 2021
  _ Adaptive Indexing for In-situ Visual Exploration and Analytics, DOLAP 2021
  _ RawVis: visual exploration over big raw data, ADBIS 2018
  _ Survey: big data visualization tools Encyclopedia of big data technologies, 2nd ed, Springer 2021
  _ Book: Linked data visualization book: techniques, tools and big data, Morgan & Claypool 2020
  _ Challenges: Big Data Visualization and Analytics: Research Challenges and Emerging Application
  _ Survey: big linked data visualization tools survey