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Teradata Geospatial

Teradata Geospatial is a collection of geospatial analysis components which are integrated into the Teradata Database. Teradata geospatial allows… 
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List of geographic information systems softwareSpatial database

Papers overview

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2019
2019
Enterprise-wide Machine Learning using Teradata Vantage: An Integrated Analytics Platform
Big data characterized by variety can be divided into 3 principal categories: numeric structured data, semi-structured data, and… 
2018
2018
Joins over UNION ALL Queries in Teradata®: Demonstration of Optimized Execution
The UNION ALL set operator is useful for combining data from multiple sources. With the emergence and prevalence of big data… 
2016
2016
Analytics in Action with Teradata® In-Memory Optimizations
  • 2016
  • Corpus ID: 85541404
2016
2016
Big Data in-Database Analytics with Teradata Aster
2014
2014
Large-Scale Graph Analytics in Aster 6: Bringing Context to Big Data Discovery
Graph analytics is an important big data discovery technique. Applications include identifying influential employees for… 
2013
2013
Advancing Big Data Benchmarks
BigBench is the first proposal for an end to end big data analytics benchmark. It features a rich query set with complex… 
2012
2012
An optimized load algorithm of parallel data warehouse based on the cloud computing platform
The parallel database system (PDS) owns high performance and high availability and is suitable for mass data storing and… 
2011
2011
Teradata® for the SAS® Programmer: Ordered Analytical Functions, Hash Objects, ANSI SQL: 2003
The manner and speed in which information is hashed and indexed makes Teradata a valuable tool for satisfying time sensitive… 
2008
2008
Capacity Planning on a Teradata DataWarehouse
A variable width tiered display stand, which may be supplied in knocked-down condition, and which may be readily assembled at the… 
1992
1992
A Study of a Parallel Database Machine and its Performance the NCR/Teradata DBC/1012
Parallel processing has long been recognised as a highly efficient method of applying large amounts of computing power to… 
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