Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Weiping Qu"'
Publikováno v:
Land, Vol 13, Iss 11, p 1774 (2024)
Since the reform and opening-up, village communities in China have undergone significant transformations alongside rapid modernization. The reconstruction of these communities is a key issue in China’s rural revitalization efforts and necessitates
Externí odkaz:
https://doaj.org/article/d8f6de0dadfa47568afb18d75ac666d0
Publikováno v:
Big Data Analytics and Knowledge Discovery ISBN: 9783030865337
DaWaK
DaWaK
Today’s data warehousing requires continuous or on-demand data integration through a Change-Data-Capture (CDC) process to extract data deltas from Online Transaction Processing Systems. This paper proposes a workload-aware CDC framework for on-dema
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e8d9151b53c06c94ce61895b50597f6
https://doi.org/10.1007/978-3-030-86534-4_21
https://doi.org/10.1007/978-3-030-86534-4_21
Autor:
Weiping Qu, Stefan Dessloch
Publikováno v:
Information Systems. 70:48-58
Wide-column NoSQL databases are an important class of NoSQL (Not only SQL) databases which scale horizontally and feature high access performance on sparse tables. With current trends towards big Data Warehouses (DWs), it is attractive to run existin
Autor:
Stefan Dessloch, Weiping Qu
Publikováno v:
Datenbank-Spektrum. 14:97-106
Next-generation business intelligence (BI) enables enterprises to quickly react in changing business environments. Increasingly, data integration pipelines need to be merged with query pipelines for real-time analytics from operational data. Newly em
Autor:
Weiping Qu, Stefan Dessloch
Publikováno v:
Big Data Analytics and Knowledge Discovery ISBN: 9783319642826
DaWaK
DaWaK
We introduce an elastic queue middleware (EQM) in a distributed streaming processing architecture to handle drastically growing input streams at peak times and maintain resource utilization at off-peak times. EQM serves as a scalable stream buffer to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::352c42f3d267759d90a905ff35fa633d
https://doi.org/10.1007/978-3-319-64283-3_13
https://doi.org/10.1007/978-3-319-64283-3_13
Autor:
Weiping Qu, Stefan Dessloch
Publikováno v:
Transactions on Large-Scale Data-and Knowledge-Centered Systems XXXII ISBN: 9783662556078
Multi-version concurrency control method has nowadays been widely used in data warehouses to provide OLAP queries and ETL maintenance flows with concurrent access. A snapshot is taken on existing warehouse tables to answer a certain query independent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d15fa3891b4eccf1ad3f4a487f56175f
https://doi.org/10.1007/978-3-662-55608-5_5
https://doi.org/10.1007/978-3-662-55608-5_5
Publikováno v:
Big Data Analytics and Knowledge Discovery ISBN: 9783319227283
DaWaK
DaWaK
Multi-version concurrency control method has nowadays been widely used in data warehouses to provide OLAP queries and ETL maintenance flows with concurrent access. A snapshot is taken on existing warehouse tables to answer a certain query independent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d025d62ccb0ee77bfd3d3c9c9b7e9972
https://doi.org/10.1007/978-3-319-22729-0_17
https://doi.org/10.1007/978-3-319-22729-0_17
Publikováno v:
Advances in Databases and Information Systems ISBN: 9783319231341
ADBIS
ADBIS
This paper demonstrates a system called HBelt which tightly integrates a distributed, key-value data store HBase with an extended ETL engine Kettle. The objective is to provide HBase tables with real-time data freshness in an efficient manner. A dist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8aa69468c1f513cacde7d4c934650a1e
https://doi.org/10.1007/978-3-319-23135-8_9
https://doi.org/10.1007/978-3-319-23135-8_9
Autor:
Weiping Qu, Stefan Dessloch
Publikováno v:
Advances in Databases and Information Systems ISBN: 9783319109329
ADBIS
ADBIS
Migrating large-scale data sets (e.g. social graphs) from cluster to cluster and meanwhile providing high system uptime is a challenge task. It requires fast bulk import speed. We address this problem by introducing our “Demand-driven Bulk Loading
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6494a3bbf81797f79731e895eb116c4
https://doi.org/10.1007/978-3-319-10933-6_11
https://doi.org/10.1007/978-3-319-10933-6_11
Publikováno v:
SPIE Proceedings.
MODIS a moderate-resolution imaging spectroradiometer instrument on board EOS-AM1 and PM1 has 36 spectral bands amongst which only 9.6 μm band sensitively traces atmospheric ozone. To produce total ozone inversion one requirement is via temperature