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Efficient updates for a shared nothing analytics platform
2010
Proceedings of the 2010 Workshop on Massive Data Analytics on the Cloud - MDAC '10
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Apart from the benefits that a distributed storage built on top of a shared-nothing architecture offers, our system is designed to efficiently cope with continuous, on-line updates of temporally ordered ...
accuracy in query responses for our target application. ...
CONCLUSIONS In this paper we described a data-warehouse-like system deployed on a shared-nothing architecture especially designed to handle time series data produced at a high rate in a distributed manner ...
doi:10.1145/1779599.1779606
fatcat:ehqzrrxsefbblmwc5mot7voa5q
Ethopian Database Management system as a Cloud Service: Limitations and advantages
2013
IOSR Journal of Computer Engineering
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We thus express the need for a new DBMS, designed specifically for Ethiopian cloud computing environments. ...
It is the sharing of resources, software, and information between multiple devices over a network which is mostly the internet. It is expected that this number will grow significantly in the future. ...
reasons: Shared-nothing architecture is a good match for analytical data management. ...
doi:10.9790/0661-1253438
fatcat:fma773zdyvb3pcu4vhwh7aabtq
Cloud-native database systems at Alibaba
2019
Proceedings of the VLDB Endowment
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For highly concurrent workloads that require horizontal scalability, a cloud-native database can leverage a shared-nothing layer to provide distributed query and transaction processing. ...
We have also designed an OLAP system called AnalyticDB (ADB in short) for enabling real-time interactive data analytics for big data. ...
Hence, we have extended POLARDB and built POLARDB-X, a distributed shared-nothing OLTP database to enable horizontal scaleout, which combines shared-storage and shared-nothing architectures. ...
doi:10.14778/3352063.3352141
fatcat:wlwyvm7pzne7nf4wokn2jud7qm
Near real-time analytics with IBM DB2 analytics accelerator
2013
Proceedings of the 16th International Conference on Extending Database Technology - EDBT '13
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With IDAA, analytic queries can access data that is constantly refreshed in contrast to traditional warehouses that are updated on a daily or even weekly basis. ...
The IBM DB2 Analytics Accelerator (IDAA) implements the vision of a universal relational DBMS that processes OLTP and analytical-type queries in a single system, but on two fundamentally different query ...
Existing analytics systems are based on a shared nothing architecture whereas traditional OLTP systems use a shared everything design. ...
doi:10.1145/2452376.2452444
dblp:conf/edbt/MartinKKI13
fatcat:jlrtnnsx6jhtlpfso2bs5oe67a
Database Services for Cloud Computing – An Overview
2003
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
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There is a proliferation ofnumber of applications which leverage various cloud platforms,resulting in a tremendous increase in the scale of data generated aswell as consumed by such applications. ...
Scalable databasemanagement systems are a crucial part of the cloud infrastructurewhich includes both update intensive workloads and decisionsupport systems. ...
Shared Nothing Scale-out‖ architectures. ...
doi:10.24297/ijct.v2i3a.2674
fatcat:sqohnodfj5a7dgk3asetghwfg4
A platform for collaborative visual analysis on streaming messages
2014
2014 IEEE Conference on Visual Analytics Science and Technology (VAST)
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We proposed a collaborative platform to analyze streaming microblog messages in real-time on the emergence of security events, for VAST 2014 Mini Challenge 3. ...
With the assistance of a keyword analyzer, we were able to stay vigilant for potential emergencies in the course of streaming and conduct postmortem analysis. ...
A collaborative visual platform is efficient for analysts to synthesize information and share findings [3] . ...
doi:10.1109/vast.2014.7042573
dblp:conf/ieeevast/LiuWCWMY14
fatcat:szqo75xgznfvvjhgcpmbez52pq
Insights from Adopting a Data Commons Approach for Large-Scale Observational Cohort Studies: The California Teachers Study
2020
Cancer Epidemiology, Biomarkers and Prevention
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Our new CTS infrastructure includes a Data Warehouse and data marts, which are focused subsets from the Data Warehouse designed for efficiency. ...
The secure CTS workspace utilizes a Remote Desktop service that operates within a HIPAA and FISMA compliant platform. ...
No two CECs are identical, and no single data analytics platform or cloud-computing strategy will work for every CEC. ...
doi:10.1158/1055-9965.epi-19-0842
pmid:32051191
pmcid:PMC9005205
fatcat:t7xkuuqo3zevbfwqpo34pypsqe
Methods and metrics for fair server assessment under real-time financial workloads
2015
Concurrency and Computation
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In this paper we present a rigorous methodology and new metrics for fair comparison of server and microserver platforms. ...
Energy efficiency has been a daunting challenge for datacenters. The financial industry operates some of the largest datacenters in the world. ...
assets, such as a fixed number of shares in a company, for a defined price and either on or before a contract end date. ...
doi:10.1002/cpe.3704
fatcat:zzrnq6ekafaw5gre4vsapnwd6a
Methods and Metrics for Fair Server Assessment under Real-Time Financial Workloads
[article]
2014
arXiv
pre-print
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In this paper we present a rigorous methodology and new metrics for fair comparison of server and microserver platforms. ...
Energy efficiency has been a daunting challenge for datacenters. The financial industry operates some of the largest datacenters in the world. ...
assets, such as a fixed number of shares in a company, for a defined price and either on or before a contract end date. ...
arXiv:1501.00048v1
fatcat:5qhscyr57rhfnfctbwdv64jc6m
The Snowflake Elastic Data Warehouse
2016
Proceedings of the 2016 International Conference on Management of Data - SIGMOD '16
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Public cloud platforms now offer virtually unlimited compute and storage resources on demand. At the same time, the Software-as-a-Service (SaaS) model brings enterprise-class ...
We also would like to thank all the other "Snowflakes" for their amazing work in bringing this product to the users and building a great company together. ...
The biggest future challenge for Snowflake is the transition to a full self-service model, where users can sign up and interact with the system without our involvement at any phase. ...
doi:10.1145/2882903.2903741
dblp:conf/sigmod/DagevilleCZAABC16
fatcat:5ehnby2gvffujfsyboulqq2pxu
The Art of Handling Databases by Cloud Computing
2014
Research Journal of Applied Sciences Engineering and Technology
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It surely gets a significant attraction over the IT industry. ...
All upcoming technologies are almost trying to deal with only one concept "DATA" -how the data can be effectively stored, easily and accurately retrieved, efficiently distributed and queried etc. ...
Usually these databases can't be suitable for cloud because: • Do not use a shared-nothing architecture: Cloud needs a shared-nothing architecture since the data is partitioned across various sites rather ...
doi:10.19026/rjaset.7.564
fatcat:j5l2shoyprc6pgn2fxb25hvonm
THE DESIGN OF A HIGH PERFORMANCE EARTH IMAGERY AND RASTER DATA MANAGEMENT AND PROCESSING PLATFORM
2016
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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As a raster data processing platform, GeoRaster provides basic operations, image processing, raster analytics, and data distribution featuring high performance computing (HPC). ...
These requirements resulted in Oracle Spatial GeoRaster, a global scale and high performance earth imagery and raster data management and processing platform. ...
One trend is to leverage Big Data platforms such as Hadoop and NoSQL. These systems have a shared nothing architecture and use clustering of low end servers. ...
doi:10.5194/isprs-archives-xli-b4-551-2016
fatcat:6jap3ezet5e4nnfzj7roxamvpa
THE DESIGN OF A HIGH PERFORMANCE EARTH IMAGERY AND RASTER DATA MANAGEMENT AND PROCESSING PLATFORM
2016
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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As a raster data processing platform, GeoRaster provides basic operations, image processing, raster analytics, and data distribution featuring high performance computing (HPC). ...
These requirements resulted in Oracle Spatial GeoRaster, a global scale and high performance earth imagery and raster data management and processing platform. ...
One trend is to leverage Big Data platforms such as Hadoop and NoSQL. These systems have a shared nothing architecture and use clustering of low end servers. ...
doi:10.5194/isprsarchives-xli-b4-551-2016
fatcat:evhs3sx7mvh5fnr4polwmx6ryq
Characterization of the Impact of Hardware Islands on OLTP
2015
The VLDB journal
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shared-nothing configurations. ...
We compare different database deployment strategies where we vary the number and size of independent database instances running on a single server, from a single shared-everything instance to fine-grained ...
Acknowledgements We would like to thank Eric Sedlar and Brian Gold for many insightful discussions and the members of the DIAS laboratory for their support throughout this work. ...
doi:10.1007/s00778-015-0413-2
fatcat:5j4fpf6sgjag5jepidazdh5jgu
Project Website
2016
Zenodo
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This report provides a basic understanding of key focal development principles considered during the implementation of INDIGO´s website. ...
In addition, a description of the website's current architectural structure and initial instantiation as of April 2016 is presented. ...
The need for sufficient analytic responsiveness is the quintessential determining factor to allow for efficient and effective communications, and to help improve organic search rankings. ...
doi:10.5281/zenodo.1033908
fatcat:3n4lzdxkjbemrosx2dixkdwhie
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