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Efficient updates for a shared nothing analytics platform

Katerina Doka, Dimitrios Tsoumakos, Nectarios Koziris
2010 Proceedings of the 2010 Workshop on Massive Data Analytics on the Cloud - MDAC '10  
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

Shaik Saidhbi
2013 IOSR Journal of Computer Engineering  
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

Feifei Li
2019 Proceedings of the VLDB Endowment  
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

Daniel Martin, Oliver Koeth, Johannes Kern, Iliyana Ivanova
2013 Proceedings of the 16th International Conference on Extending Database Technology - EDBT '13  
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

Big Data Technologies circa 2012

Vinayak R. Borkar, Michael J. Carey
2012 International Conference on Management of Data  
On the analytics side, MapReduce [17] and Hadoop [5] have dominated the space for scalable data analyses.  ...  His research focuses on the efficient use of large clusters in solving Big Data problems. He was the primary developer of the Hyracks data-parallel platform.  ... 
dblp:conf/comad/BorkarC12 fatcat:mdhkyhd53zefnlfa6z42te4i5y

Data Management in the Cloud: Limitations and Opportunities

Daniel J. Abadi
2009 IEEE Data Engineering Bulletin  
We thus express the need for a new DBMS, designed specifically for cloud computing environments.  ...  We present a list of features that a DBMS designed for large scale data analysis tasks running on an Amazon-style offering should contain.  ...  Acknowledgments We thank Andy Pavlo and Samuel Madden for their feedback on this article. The author is funded by the NSF under grants IIS-0845643 and IIS-0844480.  ... 
dblp:journals/debu/Abadi09 fatcat:5loa2jrz7zc3zhrb57omiqectu

Database Services for Cloud Computing – An Overview

P. Malliga
2003 INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY  
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

Zipeng Liu, Zhenhuang Wang, Siming Chen, Zuchao Wang, Zhengjie Miao, Xiaoru Yuan
2014 2014 IEEE Conference on Visual Analytics Science and Technology (VAST)  
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

Methods and metrics for fair server assessment under real-time financial workloads

Giorgis Georgakoudis, Charles J. Gillan, Ahmed Sayed, Ivor Spence, Richard Faloon, Dimitrios S. Nikolopoulos
2015 Concurrency and Computation  
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

Insights from Adopting a Data Commons Approach for Large-Scale Observational Cohort Studies: The California Teachers Study

James V. Lacey, Nadia T. Chung, Paul Hughes, Jennifer L Benbow, Christine Duffy, Kristen E Savage, Emma S Spielfogel, Sophia S. Wang, Maria Elena Martinez, Sandeep Chandra
2020 Cancer Epidemiology, Biomarkers and Prevention  
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 [article]

Giorgis Georgakoudis, Charles J. Gillan, Ahmed Sayed, Ivor Spence, Richard Faloon, Dimitrios S. Nikolopoulos
2014 arXiv   pre-print
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

Internet of Things: Opportunities and Challenges to Business, Society, and IS Research

Jung P. Shim, Michel Avital, Alan R. Dennis, Olivia Sheng, Matti Rossi, Carsten Sørensen, Aaron M. French
2017 International Conference on Information Systems  
The panel covers IoT issues, such as devices/connection efficiency, security, privacy, analytics, monetization and end-user services, IoT and Blockchain convergence, platform and standards, and compliances  ...  The IoT is a leading-edge topic in Information Systems (IS). In a hyper-connected economy, IoT can transform a business radically.  ...  If platformization ends up as a battle for full control, with resulting fragmentation, we could end up with an Internet of Nothings.  ... 
dblp:conf/icis/ShimADSRSF17 fatcat:eqruqu23xrg7bi3hpcjct6cdse

The Snowflake Elastic Data Warehouse

Benoit Dageville, Jiansheng Huang, Allison W. Lee, Ashish Motivala, Abdul Q. Munir, Steven Pelley, Peter Povinec, Greg Rahn, Spyridon Triantafyllis, Philipp Unterbrunner, Thierry Cruanes, Marcin Zukowski (+6 others)
2016 Proceedings of the 2016 International Conference on Management of Data - SIGMOD '16  
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

Hybrid Cloud Support for Large Scale Analytics and Web Processing

Navraj Chohan, Anand Gupta, Chris Bunch, Koshik Prakasam, Chandra Krintz
2012 USENIX Conference on Web Application Development  
Our approach couples GAE and AppScale to provide a hybrid cloud that transparently shares data between public and private platforms, and decouples public application execution from private analytics over  ...  Our extensions to AppScale eliminate the restrictions GAE imposes and integrates popular data analytic programming models to provide a framework for complex analytics, testing, and debugging of live GAE  ...  ., updating shared, persistent data) as the final operation -since any failure of a previous statement will cause the task to be re-enqueued (potentially updating shared state incorrectly).  ... 
dblp:conf/webapps/ChohanGBPK12 fatcat:h6gxo4nlqvasphdl3k3cf6zkuq

The Art of Handling Databases by Cloud Computing

R. Anandhi, K. Chitra
2014 Research Journal of Applied Sciences Engineering and Technology  
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
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