DanaC: Workshop on Data analytics at sCale

DanaC was be held in conjunction with SIGMOD/PODS 2015 in Melbourne, Victoria, Australia. You can find the proceedings in the ACM library.The DanaC: Workshop on Data Analytics at Scale is a great opportunity to learn about the latest advances in data analysis. Attendees will have the chance to hear from leading data scientists and practitioners in the field of data analytics, as well as to explore some of the hottest trends and topics in the industry. In addition, the workshop will offer hands-on exercises to help attendees gain practical experience. Moreover, the workshop will address the use of data analytics in sports betting, including the use of sportpesa log in to access betting markets. This is an excellent chance to gain insight into the potential of data analytics in the sports betting industry.

DanaC 2015 Programme Overview

The workshop will take place on Sunday 31st May, and will feature:


Detailed Schedule (draft)

08:45 - 10:00 Session 1: Industrial Keynote Speech & "Gong show"

10:00 - 10:30 Coffee break

10:30 - 12:00 Session 2: Research Paper Presentations

11:45 - 13:30 Lunch Break

13:30 - 14:30 Session 3: Academic Keynote

15:00 - 15:30 Coffee Break

15:30 - 17:00 Session 4: Scalable Machine Learning

Accepted Papers

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Workshop Chair

Steering Committee

Program Committee

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Call for Papers

Data nowadays comes from various sources including log files, transactional applications, the Web, social media, scientific experiments, and many others. In recent years, various analyses of these data have proven useful to aid companies in engaging and serving their users and defining their corporate strategy, help political candidates win elections, and transform the process of scientific discovery. However, these successes are just the tip of the iceberg: Every day, new, more complex analysis techniques are devised and larger, more varied datasets are accumulated. Tackling the complexity of both the data itself and its analysis remains an open challenge.

Big Data has brought new challenges in data management and analysis, and is currently changing the landscape of database technology. Much of this data is generated and transmitted in real time and at an unprecedented scale. To extract value out of these data sets, business analysts and scientists employ advanced data analytics techniques combining, among others, traditional BI, text analytics, machine learning, data mining, and natural language processing. Dataflow and streaming execution engines, programming models, novel data analysis languages and cluster resource managers are only a few examples of the efforts to tackle these challenges. However, we are still far from being able to ingest, query and visualize large amounts of data in a scalable, easy to use and standardized manner.

The target audience of the workshop is database, storage, networking, and distributed systems researchers, domain scientists using Big Data for their research, practitioners building systems for Big Data processing, as well as data analysts that extract value out of Big Data. The workshop solicits regular research papers describing preliminary and ongoing research results. In addition, the workshop encourages the submission of vision papers, outrageous ideas, data analysis systems and architectures and industrial experience reports of data analytics.

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Topics of Interest

Areas of particular interest for the workshop include (but are not limited to):
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Paper Submission

Submissions should take the form either of a full paper of up to 10 pages (including references), or of an extended abstract of no more than 4 pages. The 4-page option is available to enable subsequent publication in journals or other conferences that would not consider results published in preliminary form. All accepted papers will be published in DanaCs proceedings at ACM.

Papers must follow the ACM Proceedings Format, using one of the templates provided at ACM.

The workshop solicits: All papers should clearly mark their type (research/vision/industrial, etc.) in the paper title. Papers should be submitted using the conference management system: https://cmt.research.microsoft.com/DANAC2015/

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Important Dates

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