Links
- https://dl.acm.org/doi/abs/10.1145/3716373
- https://arxiv.org/pdf/cs/0701155
- https://www.vldb.org/conf/2002/S22P02.pdf
- https://www.cs.umd.edu/~nick/projects/Dwarf.pdf
- https://www.semanticscholar.org/paper/Bottom-up-computation-of-sparse-and-Iceberg-CUBE-Beyer-Ramakrishnan/68e0348d2264c85847df30e189f26cf40654a2ab
- https://cdn.aaai.org/FLAIRS/2003/Flairs03-050.pdf
- https://link.springer.com/chapter/10.1007/978-3-540-72905-1_7
- https://www.vldb.org/pvldb/vol15/p3828-john.pdf
- https://laurolins.github.io/nanocube/
- https://hdc.cs.arizona.edu/papers/infovis_2016_hashedcubes.pdf
- https://idl.cs.washington.edu/files/2013-imMens-EuroVis.pdf
- https://graphics.stanford.edu/papers/pan_zoom/paper.pdf
- https://startree.ai/resources/star-tree-indexes-in-apache-pinot-part-1-understanding-the-impact-on-query-performance/
- https://opensearch.org/blog/the-power-of-star-tree-indexes-supercharging-opensearch-aggregations/
- https://druid.apache.org/docs/latest/ingestion/schema-design/
- https://clickhouse.com/blog/clickhouse_vs_elasticsearch_mechanics_of_count_aggregations
- https://www.confluent.io/blog/scaling-apache-druid-for-real-time-cloud-analytics-at-confluent/
- https://hydrolix.io/blog/aggregation-best-practices/
- https://www.cs.sfu.ca/~wangk/pub/sigmod01.pdf
- https://cs.nyu.edu/~jcf/classes/g22.3033-002/slides/session5/DataCubeTechnology.pdf
- https://www.vldb.org/conf/2003/papers/S15P02.pdf
- https://hanj.cs.illinois.edu/pdf/vldb04_hdolap.pdf