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Report on the 8th International Workshop on Business Intelligence for the Real-Time Enterprise (BIRTE'14)
2015
SIGMOD record
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data analytics. ...
The invited industrial talks session that followed included a talk from Microsoft Research about their data processing solutions for complex big data analytics and a talk from HP Labs about a new fault ...
ACKNOWLEDGEMENTS We would like to thank all the authors of submitted papers for their interest in the workshop and their high-quality submissions, as well as the distinguished PC members for their dedicated ...
doi:10.1145/2854006.2854019
fatcat:sxwbkrrwizacljluuejsmgvqpa
Big Data System Development: An Embedded Case Study with a Global Outsourcing Firm
2015
2015 IEEE/ACM 1st International Workshop on Big Data Software Engineering
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Difficult
to support real-time
scenario for ad-hoc
queries. ...
2013, 8 month • Data Volume > 10 TB
• Sources: JSON
• Data Throughput >
10K/sec
• Analytics -self-
service, pre-defined
reports, ad-hoc
• Data Latency -2 min
• Middleware: RabbitMQ,
Amazon ...
BDD framework describes a new process of big data system development, which is dramatically different from "small" data system development, reflecting the paradigm shifts required for big data system development ...
doi:10.1109/bigdse.2015.15
dblp:conf/icse/ChenKHH15
fatcat:aw7b4jda7rd2zbazbtkxvqiphe
Amoeba
2016
Proceedings of the VLDB Endowment
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However, many modern analytic applications involve ad-hoc or exploratory analysis where users do not have a representative query workload upfront. ...
Static workload-based data partitioning techniques are therefore not suitable for such settings. ...
One reason for this is that modern data analytics are datacentric and tend to involve ad-hoc and exploratory analysis. ...
doi:10.14778/3007263.3007311
fatcat:ngyvsgayerh6xjdn3erw3he7bq
A NOVEL TECHNIQUE IN NoSQL DATA EXTRACTION
2014
International journal of research - granthaalayah
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Results:Large-scale data processing (parallel processing over distributed systems); Embedded IR (basic machine-to-machine information look-up & retrieval); Exploratory analytics on semi-structured data ...
Motivation/Background:NoSQL systems exhibit the ability to store and index arbitrarily big data sets while enabling a large amount of concurrent user requests. ...
The modern key value data stores prefer high scalability over consistency. Hence ad-hoc querying and analytics features like joins and aggregate operations have been omitted. ...
doi:10.29121/granthaalayah.v1.i1.2014.3086
fatcat:drzvgh6tcvflda52scih2dpqbi
BINARY: A framework for big data integration for ad-hoc querying
2016
2016 IEEE International Conference on Big Data (Big Data)
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In this thesis, we propose a framework called BINARY (A framework for Big data INtegration for Ad-hoc queRYing). ...
BINARY is a hybrid Software as a Service that provides a web interface supported by a back-end infrastructure for ad-hoc querying, accessing, visualizing and joining data from different data sources, including ...
Hence, having access to both the big distributed data sources and the traditional relational databases is essential for the purpose of ad-hoc querying and data analytics. ...
doi:10.1109/bigdata.2016.7840922
dblp:conf/bigdataconf/EftekhariZM16
fatcat:4jd5ycet45df7bhxt76crevzlm
BigExcel: A web-based framework for exploring big data in social sciences
2014
2014 IEEE International Conference on Big Data (Big Data)
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of accessibility of such technologies for non-computer scientists, supporting the ad hoc exploration of large data sets with minimal effort and the availability of lightweight web-based frameworks for ...
quick and easy analytics. ...
and (iii) the availability of lightweight frameworks for ad hoc analytics on the web. ...
doi:10.1109/bigdata.2014.7004458
dblp:conf/bigdataconf/SaleemVB14
fatcat:yjtigvnupfdjfp5exg3qzskauq
From Ad-Hoc Data Analytics to DataOps
2020
Proceedings of the International Conference on Software and System Processes
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Despite its increasing popularity among practitioners, research on this topic has been limited and does not provide a clear definition for the term or how a data analytic process evolves from ad-hoc data ...
Data processes are the operational side of data analytic workflow. ...
The authors would also like to express their gratitude for all the support provided by Ericsson. ...
doi:10.1145/3379177.3388909
dblp:conf/ispw/MunappyMBOD20
fatcat:kkpuhwyqcvai7iwvfwgid4kqmm
Making Sense of Manufacturing Data
2016
Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics
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The new industrial revolution will be based on data as raw material, where the digital economy will merge as a real economy. ...
A fast and successful digitation of the industry is meant to be a key issue for Europe in order to maintain its leading role. ...
There are key enabling technologies such as IIoT connectivity, cloud computing and big data analytics as drivers for making sense of manufacturing data. ...
doi:10.5220/0005999005900594
dblp:conf/icinco/GerrikagoitiaUS16
fatcat:of57jkma7ngdvpkfqhaeemdsf4
Big Data Science and EXASOL as Big Data Analytics tool
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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which suits the exploratory approach of a data scientist. ...
In order to raise data science to the new computational level that is required to meet the challenges of big data and interactive advanced analytics, EXASOL has introduced a new technological approach. ...
Those features have made EXASOL the unrivalled champion of the TPC benchmark H for ad-hoc decision support for many years now. ...
doi:10.35940/ijitee.i1151.0789s19
fatcat:pwann26l3jbkzca5h55sdhpddu
Stat!
2013
Proceedings of the 2013 international conference on Management of data - SIGMOD '13
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-a visualization and analytics environment that allows users to rapidly experiment with exploratory queries over big data. Data scientists can use Stat! ...
Exploratory analysis on big data requires us to rethink data management across the entire stack -from the underlying data processing techniques to the user experience. We demonstrate Stat! ...
ad hoc queries. 4) They get a homogeneous environment for loading and handling data and schemas, as well as computations over diverse data sources. ...
doi:10.1145/2463676.2463683
dblp:conf/sigmod/BarnettCDDFGMP13
fatcat:qcxwevrknzdsdhbxq2fxbbqpey
Exploratory Analysis in Learning Analytics
2015
Technology, Knowledge and Learning
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This article summarizes the methods, observations, challenges and implications for exploratory analysis drawn from two learning analytics research projects. ...
The article presents the research contexts, the tools and methods used in the exploratory phases of analysis, the major findings and the implications for learning analytics research methods. ...
These two cases highlight key issues that arise when undertaking learning analytics studies in higher education and point to a need for a new form of mixed methods when working with big data in learning ...
doi:10.1007/s10758-015-9249-5
fatcat:lcccvb7z4zejtf4n6bviep64pa
Towards A Methodology and Framework for Workflow-Driven Team Science
[article]
2019
arXiv
pre-print
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However, data and computing advances continuously change the way scientific workflows get developed and executed, pushing the scientific activity to be more data-driven, heterogeneous and collaborative ...
Workflow development today depends on the effective collaboration and communication of a cross-disciplinary team, not only with humans but also with analytical systems and infrastructure. ...
The authors would also like to thank Workflows for Data Science (WorDS) Center of Excellence team members Mai Nguyen and Volkan Vural for their participation in the discussions leading to this paper. ...
arXiv:1903.01403v1
fatcat:ubbe6qk5kfb77erhetvp25jele
SQL-like big data environments: Case study in clinical trial analytics
2015
2015 IEEE International Conference on Big Data (Big Data)
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With the intention to demonstrate how current clinical trial functionality can be replicated on a big data backend with high SQL-like functionality, we evaluate several types of ad-hoc SQL queries. ...
With the diversity and amount of data in health care industry there is an increasing need to evaluate the components in big data frameworks and gauge their adaptability to analytics techniques. ...
ACKNOWLEDGEMENTS The query outputs reported here result from secondary analyses of data from multiple clinical trials conducted by the National Institute on Drug Abuse (NIDA). ...
doi:10.1109/bigdata.2015.7364068
dblp:conf/bigdataconf/GroverGJYCMM15
fatcat:si6egf56hzdkfnxdtsti37t3ku
Quant data science meets dexterous artistry
2018
International Journal of Data Science and Analytics
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needed to tackle complex big data challenges. ...
To meet the rapidly increasing demand for effective evidence-based practice and data analytic methods, research teams, funding agencies, academic institutions, politicians, and industry leaders should ...
analytic techniques rarely apply to large incongruent, incomplete and heterogeneous datasets, and each application demands ad-hoc protocols that are hard to adopt to new case-studies. ...
doi:10.1007/s41060-018-0138-6
pmid:30923735
pmcid:PMC6433171
dblp:journals/ijdsa/Dinov19
fatcat:tf52uaml7rgobedv3xbcpzff64
Using Semantic Web Technologies for Exploratory OLAP: A Survey
2015
IEEE Transactions on Knowledge and Data Engineering
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, resulting in a new type of OLAP, exploratory OLAP. ...
Finally, all the findings are discussed and a number of directions for future research are outlined, including SW support for intelligent MD querying, using SW technologies for providing context to data ...
on internal data, and other more Exploratory cases/parts for ad hoc analyses. ...
doi:10.1109/tkde.2014.2330822
fatcat:vkgifzmlvjeipmudldxfxqwci4
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