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Introducing SciDB

Introducing SciDB. Open Source Released under GPL-3 http://www.scidb.org/ Contributors from the US, India, Russia and Europe Shared-Nothing Architecture Array Data Model Combined DBMS and Analytic Platform. Introducing SciDB. CREATE ARRAY Simple_Array < v1 : double, v2 : int64,

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Introducing SciDB

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  1. Introducing SciDB Open Source Released under GPL-3 http://www.scidb.org/ Contributors from the US, India, Russia and Europe Shared-Nothing Architecture Array Data Model Combined DBMS and Analytic Platform

  2. Introducing SciDB CREATE ARRAY Simple_Array < v1 : double, v2 : int64, v3 : string > [ I = 0:*, 5, 0, J = 0:9, 5, 0 ]; Dimension size * is unbounded Attributes v1, v2, v3 Dimensions I, J Chunk size Chunk overlap

  3. SciDB vs. RDBMSs on storage efficiency & complex computations Speeds up data access in a distributed database Dramatic storage efficiencies as # of dimensions & attributes grows Facilitates drill-down & clustering by like groups Math functions like linear algebra run directly on native storage format 16 cells 48 cells

  4. SQL vs. SciDB: Data Manipulation SELECT U1.Locn, COUNT(*) FROM USNOB AS U1, USNOB AS U2 WHERE box(U1.Locn, U1.Locn) && box(point(U1.Locn[0] - 0.001, U1.Locn[1] + 0.001), point(U1.Locn[0] + 0.001, U1.Locn[1] - 0.001)) GROUP BY U1.Locn;  window ( USNOB, 0.001, 0.001, count(*) ); SciDB SQL

  5. Linear Algebra as Building Block Mathematical and Data Manipulation Operations multiply ( transpose ( Simple_Array ), Simple_Array ); regrid( Simple_Array, 10, 10, avg (v2) ); cumsum ( filter ( Simple_Array, v1 = ‘Odd’ ), I, v1 ); Modern CPU architectures benefit enormously from blocking and chunking partial results and pipelining them through the processor.

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