# DaWaK — International Conference on Big Data Analytics and Knowledge Discovery

- **Submission deadline**: 2026-03-15
- **Notification date**: 2026-05-15
- **Conference date**: 2026-08-11
- **Location**: Graz, Austria
- **Rankings**: CORE B · QUALIS B1
- **Conference Partner Index**: 63.8/100 (ranked #480, confidence 0.80, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 6
- **Attendees**: 0
- **Canonical page**: https://www.myhuiban.com/conference/529

## Call for papers

Scope DaWaK conference is a high-quality forum for researchers, practitioners and developers in the field of Big Data Analytics, in a broad sense. The objective is to explore, disseminate and exchange knowledge in this field through scientific and industry talks. The conference covers all aspects of DAWAK research and practice, including data lakes, database design (data warehouse design, ER modelling), big data management (tables + text + files), query languages (SQL and beyond), parallel systems technology (Spark, MapReduce, HDFS), theoretical foundations and applications, text and data mining techniques, and deep learning. Topics of Interest The conference will bring together active researchers from the database systems, cloud computing, programming languages and data science communities worldwide. Main topics include: Theoretical models for data storage Integration of databases and neural networks Conceptual model foundations for big data Parallel and scalable data processing Distributed and parallel system architectures Query processing and optimization Semantics for big data Data fabric and data lake architectures Data Pre-processing and data cleaning Polystore and multistore architectures SQL alternatives: NoSQL, NewSQL, JSON Cloud infrastructure; containers, virtualization Metadata for big data frameworks Big data storage and indexing Mobile applications Large-scale AI/ML for Multimodal dataa Data Science workflows Analytics on Large Graphs Large-scale unstructured, semi-structured data Data streams: networking and sensor data Trustworthy AI on Data Lakes, Data Grid and Data Fabric Deep learning on large data sets

## Related conferences

- Discovery Science — International Conference on Discovery Science — https://www.myhuiban.com/conference/430
- Big Data — International Conference on Big Data — https://www.myhuiban.com/conference/1315
- IC3K — International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management — https://www.myhuiban.com/conference/3176
- DMKD — International Conference on Data Mining and Knowledge Discovery — https://www.myhuiban.com/conference/2522
- PAKDD — Pacific-Asia Conference on Knowledge Discovery and Data Mining — https://www.myhuiban.com/conference/157

## Related journals

- Materials Discovery — https://www.myhuiban.com/journal/889
- Data Mining and Knowledge Discovery — https://www.myhuiban.com/journal/107
- Journal of Big Data — https://www.myhuiban.com/journal/428
- Big Data Research — https://www.myhuiban.com/journal/357
- IEEE Transactions on Multimedia — https://www.myhuiban.com/journal/152

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Source: Conference Partner — https://www.myhuiban.com/conference/529 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)