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The Power Behind the Throne

Laura M. Haas
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
Integrating data has always been a challenge. The information management community has made great progress in tackling this challenge, both on the theory and the practice.  ...  New platforms, devices and applications have made huge volumes of heterogeneous data available at speeds never contemplated before, while the quality of the available data has if anything degraded.  ...  ACM Classification H.m [Miscellaneous] -Information Integration Keywords SIGMOD'15, May 31-June 4, 2015, Melbourne, Victoria, Australia.  ... 
doi:10.1145/2723372.2723373 dblp:conf/sigmod/Haas15 fatcat:sl2rmgrnljfgtcyb3qhp524nly

One Loop Does Not Fit All

Styliani Pantela, Stratos Idreos
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
It allows the creation of code on-the-fly to perfectly match an active query.  ...  On the other hand, vectorization -a common feature in modern data systems -allows for better results by evaluating the query predicates sequentially in different tight for-loops.  ...  SIGMOD'15, May 31-June 4, 2015, Melbourne, Victoria, Australia. ACM 978-1-4503-2758-9/15/05. http://dx.doi.org/10.1145/2723372.2764944. possible in a single loop.  ... 
doi:10.1145/2723372.2764944 dblp:conf/sigmod/PantelaI15 fatcat:6f3clwsrxzft7hwlhqthdrud2q

Mining and Forecasting of Big Time-series Data

Yasushi Sakurai, Yasuko Matsubara, Christos Faloutsos
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
Time-series data analysis is becoming of increasingly high importance, thanks to the decreasing cost of hardware and the increasing on-line processing capability.  ...  We review the state of the art in four related fields: (1) similarity search and pattern discovery, (2) linear modeling and summarization, (3) non-linear modeling and forecasting, and (4) the extension  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation, ARL, or other  ... 
doi:10.1145/2723372.2731081 dblp:conf/sigmod/SakuraiMF15 fatcat:dsmv2sqs35bm5ifeqr4qnuz6ty

DunceCap

Adam Perelman, Christopher Ré
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
as simple worst-case optimal algorithms by an order of magnitude on a variety of queries.  ...  Modern data analytics workloads frequently involve complex join queries where the pairwise-join-based algorithms used by most RDBMS engines are suboptimal.  ...  SIGMOD'15, May 31-June 4, 2015, Melbourne, Victoria, Australia. ACM 978-1-4503-2758-9/15/05. http://dx.doi.org/10.1145/2723372.2764945. Table 1 : 1 Common graph-pattern queries.  ... 
doi:10.1145/2723372.2764945 dblp:conf/sigmod/PerelmanR15 fatcat:oj3xpmy3bjdizghurksd3uei24

Job Scheduling with Minimizing Data Communication Costs

Trevor Clinkenbeard, Anisoara Nica
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
On distributed file systems, such as the HDFS, files are spread across a cluster of machines.  ...  Once a request, such as a query, having as input the data in these files is translated into a set of jobs, these jobs must be scheduled across machines in the cluster.  ...  These issues further complicate the scheduling problem, and can be the subject of further research. SIGMOD'15, May 31-June 4, 2015, Melbourne, Victoria, Australia.  ... 
doi:10.1145/2723372.2764943 dblp:conf/sigmod/ClinkenbeardN15 fatcat:3x4k56axzbb65lajw46av2emfy

Overview of Data Exploration Techniques

Stratos Idreos, Olga Papaemmanouil, Surajit Chaudhuri
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
We discuss new ideas on how to store and access data as well as new ideas on how to interact with a data system to enable users and applications to quickly figure out which data parts are of interest.  ...  In this tutorial, we survey recent developments in the emerging area of database systems tailored for data exploration.  ...  Surajit received his Ph.D. from Stanford University in 1992. 15, May 31-June 4, 2015, Melbourne, Victoria, Australia.  ... 
doi:10.1145/2723372.2731084 dblp:conf/sigmod/IdreosPC15 fatcat:tmltgcgwgbcezffqzqljeu5wcy

DunceCap

Susan Tu, Christopher Ré
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
Joins are central to data processing. However, traditional query plans for joins, which are based on choosing the order of pairwise joins, are provably suboptimal.  ...  We benchmark our plans using datasets from the Stanford Large Network Dataset Collection [4] and find that our performance compares favorably against that of Log-icBlox, a commercial system that implements  ...  Copyright is held by the author/owner(s). SIGMOD'15, May 31-June 4, 2015, Melbourne, Victoria, Australia. ACM 978-1-4503-2758-9/15/05. http://dx.doi.org/10.1145/2723372.2764946. .  ... 
doi:10.1145/2723372.2764946 dblp:conf/sigmod/TuR15 fatcat:52p67c2jfngbzhw2uzrjz3ti5e

QE3D

Daniel Scheibli, Christian Dinse, Alexander Boehm
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
QE3D is a novel query plan visualization tool that aims at providing an intuitive and holistic view of distributed query plans executed by the SAP HANA database management system.  ...  SIGMOD'15, May 31-June 4, 2015, Melbourne, Victoria, Australia. Copyright is held by the owner/author(s). Publication rights licensed to ACM.  ...  (BW) installations [9] , the HANA database management system is frequently deployed on a cluster of machines.  ... 
doi:10.1145/2723372.2735364 dblp:conf/sigmod/ScheibliDB15 fatcat:wis5lwckcrc27exnecasl73ea4

WANalytics

Ashish Vulimiri, Carlo Curino, Philip Brighten Godfrey, Thomas Jungblut, Konstantinos Karanasos, Jitendra Padhye, George Varghese
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
To the best of our knowledge, WABD is currently addressed by copying all the data to a central data center where the analytics are run.  ...  We call the problem of supporting large-scale geo-distributed analytics Wide-Area Big Data (WABD).  ...  Acknowledgements We gratefully acknowledge the support of an Alfred P. Sloan Research Fellowship.  ... 
doi:10.1145/2723372.2735365 dblp:conf/sigmod/VulimiriCGJKPV15 fatcat:rpjundbypncbrgc5nyy66o6c5y

SharkDB

Haozhou Wang, Kai Zheng, Xiaofang Zhou, Shazia Sadiq
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
It is also easier for parallelizing data processing on the multi-core server since the frames are mutually independent.  ...  In this storage design, we try to explore the potential opportunities, which can boost the performance of query processing for trajectory data.  ...  ACKNOWLEDGEMENTS This research is partially supported by the Australian Research Council (LP130100164, DP120102829 and DE140100215).  ... 
doi:10.1145/2723372.2735368 dblp:conf/sigmod/WangZZS15 fatcat:gnd7upjof5ffnlxsncozdx4shi

BenchPress

Dana Van Aken, Djellel E. Difallah, Andrew Pavlo, Carlo Curino, Philippe Cudré-Mauroux
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
But the workloads available for this effort are often restrictive and non-representative of the ever changing requirements of the modern database applications.  ...  It allows users to control the benchmark behavior in real time for multiple database management systems.  ...  This research was funded (in part) by the U.S. National Science Foundation (III-1423210), and the Swiss National Science Foundation (PP00P2 128459).  ... 
doi:10.1145/2723372.2735354 dblp:conf/sigmod/AkenDPCC15 fatcat:ogsthue4xnheplymmihebzst7y

The Flatter, the Better

Alexander Ulrich, Torsten Grust
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
We demonstrate the insides and outs of a query compiler based on the flattening transformation, a translation technique designed by the programming language community to derive efficient data-parallel  ...  Flattening admits the straightforward formulation of intricate query logic-including deeply nested loops over (possibly ordered) data or the construction of rich data structures.  ...  SIGMOD'15, May 31-June 4, 2015, Melbourne, Victoria, Australia. Copyright is held by the owner/author(s). Publication rights licensed to ACM.  ... 
doi:10.1145/2723372.2735359 dblp:conf/sigmod/UlrichG15 fatcat:bk6juzbdyrgyrjgy73mn5pagni

Even Metadata is Getting Big

Dongqing Xiao, Armir Bashllari, Tyler Menard, Mohamed Eltabakh
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
In these applications, the number and size of the raw annotations may grow beyond what end-users and scientists can comprehend and analyze.  ...  InsightNotes addresses the unique challenges that arise in modern applications-especially scientific applicationsthat rely on rich and large-scale repositories of curation and annotation information.  ...  Therefore, no advanced query processing is required over the annotations summaries once created. SIGMOD'15, May 31-June 4, 2015, Melbourne, Victoria, Australia.  ... 
doi:10.1145/2723372.2735355 dblp:conf/sigmod/XiaoBME15 fatcat:yjdr6vr7mzbwtolbgxzdj6qr4u

Data Management in Non-Volatile Memory

Stratis D. Viglas
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
Therefore, we must revisit the salient aspects of data management in light of this new technology.  ...  In particular, we address issues like: (a) incorporating non-volatile memory into the data management stack, (b) supporting transactions and ensuring persistence and recovery, and (c) query processing.  ...  There has been some preliminary work on non-volatile memory, but the area is certainly fresh with plenty of opportunities for original and high-impact work. 15, May 31-June 4, 2015, Melbourne, Victoria  ... 
doi:10.1145/2723372.2731082 dblp:conf/sigmod/Viglas15 fatcat:sp7qkhulgbhczorkj5ms3l74li

MoDisSENSE

Ioannis Mytilinis, Ioannis Giannakopoulos, Ioannis Konstantinou, Katerina Doka, Dimitrios Tsitsigkos, Manolis Terrovitis, Lampros Giampouras, Nectarios Koziris
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
When the size of the collected data or the complexity of the applied methods increases, traditional storage and processing systems are not enough and distributed approaches are employed.  ...  The amount of social networking data that is being produced and consumed daily is huge and it is constantly increasing.  ...  SIGMOD'15, May 31-June 4, 2015, Melbourne, Victoria, Australia. The vast majority of the users has performed between 140 and 200 visits in different pois.  ... 
doi:10.1145/2723372.2735375 dblp:conf/sigmod/MytilinisGKDTTG15 fatcat:z2rnvg2ym5fcrhe2ynyzmig4eu
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