Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 226,017,881 papers from all fields of science
Search
Sign In
Create Free Account
Pivotal Greenplum Database
Known as:
Greenplum database
Pivotal Greenplum Database is a database software developed by Pivotal Software, Inc. (Pivotal). It was originally developed by Greenplum which was…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
5 relations
ACID
Comparison of data modeling tools
Oracle Exadata
PostgreSQL
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Pivotal Greenplum© for Kubernetes: Demonstration of Managing Greenplum Database on Kubernetes
Jemish Patel
,
Goutam Tadi
,
+4 authors
Xin Zhang
SIGMOD Conference
2019
Corpus ID: 195259214
Greenplum Database (GPDB) has many features designed to enable data scientists. Before a data scientist can use GPDB, a database…
Expand
2015
2015
Power Your Big Data Analytics With Pivotal Greenplum Database
Kuien Liu
,
Yandong Yao
2015
Corpus ID: 57216819
2014
2014
Parser ! Catalog ! Executor ! DXL ! Query ! DXL ! MD ! DXL ! Plan ! Query 2 DXL ! DXL 2 Plan ! Query ! Results ! MD ! Provider !
Mohamed A. Soliman
,
Lyublena Antova
,
+11 authors
R. Baldwin
2014
Corpus ID: 155098790
The performance of analytical query processing in data management systems depends primarily on the capabilities of the system’s…
Expand
2013
2013
Total operator state recall — Cost-effective reuse of results in Greenplum Database
George C. Caragea
,
Carlos Garcia-Alvarado
,
M. Petropoulos
,
F. Waas
IEEE 29th International Conference on Data…
2013
Corpus ID: 18351560
Recurring queries or partial queries occur very frequently in production workloads. Reusing results or intermediates presents a…
Expand
2012
2012
Automatic capture of minimal, portable, and executable bug repros using AMPERe
Lyublena Antova
,
Konstantinos Krikellas
,
F. Waas
International Workshop on Testing Database…
2012
Corpus ID: 15192878
Query optimizers are among the most complex software components in any database system and are naturally prone to contain…
Expand
2010
2010
MapReduce: внутри, снаружи или сбоку от параллельных СУБД?
Сергей Дмитриевич Кузнецов
2010
Corpus ID: 207923437
The approaches of use of MapReduce technology together with analytical DBMSs are discussed. The paper considers approaches where…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE