Melanie Herschel and Yannis Velegrakis
Melanie Herschel and Yannis Velegrakis

On Data Exploration in the era of Big Data

Big Data, data exploration, Interview

We are witnessing data of unprecedented volume, variety and velocity. Such data is collected from almost every aspect of human activity and stored in large repositories in order to be later analyzed and turned into useful insights. The storage model is not any more the one in which data is placed in predefined structures with […]

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Multiple Contributors
Multiple Contributors

A Tribute to José Alfredo Blakeley

Uncategorized

José Alfredo Blakeley, Partner Architect at Microsoft, passed away on January 7th, 2018. With this “tribute”, we would like to honor his many contributions to data management. José will be sorely missed as a great scientist, mentor, colleague, and friend. José completed his undergraduate studies at Tecnológico de Monterrey, Mexico in 1978. He continued his […]

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Azza Abouzied and Paolo Papotti
Azza Abouzied and Paolo Papotti

Courting ML: Witnessing the Marriage of Relational & Web Data Systems to Machine Learning

Big Data, Databases, Interview, Machine Learning

The web is an ever-evolving source of information, with data and knowledge derived from it powering a great range of modern applications. Accompanying the huge wealth of information, web data also introduces numerous challenges due to its size, diversity, volatility, inaccuracy, and contradictions. This year’s WebDB 2018 theme emphasizes the challenges and opportunities that arise […]

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Arijit Khan and Yinghui Wu
Arijit Khan and Yinghui Wu

Graph Pattern Matching Queries – Approximation and User-Friendliness

Graph Queries

Graphs are a ubiquitous model to represent objects and their relations. Examples include communication and computer systems, the World Wide Web, online social networks, biological networks, transportation systems, epidemic networks, chemical networks, and hidden terrorist networks. All these systems can be modeled as graphs, in which individual components interact with a specific set of components, […]

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Surajit Chaudhuri
Surajit Chaudhuri

Approximate Query Processing – Where do we go from here?

Big Data, Query Processing

I think we need to take a hard look at approximate query processing. Don’t get me wrong. The vision of approximate query processing is indeed compelling. In the age of Big Data, the ability to answer analytic queries “approximately”, but at a fraction of the cost of executing the query in the traditional way, is […]

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