440 citations · 630 across the 11 of their papers we have counts for
7 papers · 1 filter
Cross-Matching Multiple Spatial Observations and Dealing with Missing Data
Jim Gray, Alex Szalay, Tamas Budavari +3
Cross-match spatially clusters and organizes several astronomical point-source measurements from one or more surveys. Ideally, each object would be found in each survey. Unfortunat…
The Zones Algorithm for Finding Points-Near-a-Point or Cross-Matching Spatial Datasets
Jim Gray, Maria A. Nieto-Santisteban, Alexander S. Szalay
Zones index an N-dimensional Euclidian or metric space to efficiently support points-near-a-point queries either within a dataset or between two datasets. The approach uses relatio…
Large-Scale Query and XMatch, Entering the Parallel Zone
Maria A. Nieto-Santisteban, Aniruddha R. Thakar, Alexander S. Szalay +1
Current and future astronomical surveys are producing catalogs with millions and billions of objects. On-line access to such big datasets for data mining and cross-correlation is u…
Designing a Multi-petabyte Database for LSST
Jacek Becla, Andrew Hanushevsky, Sergei Nikolaev +5
The 3.2 giga-pixel LSST camera will produce approximately half a petabyte of archive images every month. These data need to be reduced in under a minute to produce real-time transi…
Scientific Data Management in the Coming Decade
Jim Gray, David T. Liu, Maria Nieto-Santisteban +3
This is a thought piece on data-intensive science requirements for databases and science centers. It argues that peta-scale datasets will be housed by science centers that provide…
There Goes the Neighborhood: Relational Algebra for Spatial Data Search
Jim Gray, Alexander S. Szalay, Aniruddha R. Thakar +5
We explored ways of doing spatial search within a relational database: (1) hierarchical triangular mesh (a tessellation of the sphere), (2) a zoned bucketing system, and (3) repres…