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TUTORIAL 1: Multi-model Data Management: What's New and What's Next?

Organizers: Jiaheng Lu (University of Helsinki, Finland) and Irena Holubov√° (Charles University in Prague, Czech Republic)
Duration: 1,5 hours
Abstract: As more businesses realized that data, in all forms and sizes, is critical to making the best possible decisions, we see the continued growth of systems that support massive volume of non-relational or unstructured forms of data. Nothing shows the picture more starkly than the Gartner Magic quadrant for operational database management systems, which assumes that, by 2017, all leading operational DBMSs will offer multiple data models, relational and NoSQL, in a single DBMS platform. Having a single data platform for managing both well-structured data and NoSQL data is beneficial to users; this approach reduces significantly integration, migration, development, maintenance, and operational issues. Therefore, a challenging research work is how to develop efficient consolidated single data management platform covering both relational data and NoSQL to reduce integration issues, simplify operations, and eliminate migration issues. In this tutorial, we review the previous work on multi-model data management and provide the insights on the research challenges and directions for future work.
For more details on this tutorial, visit this web page.

TUTORIAL 2: Declarative Graph Querying in Practice and Theory

Organizers: George Fletcher (TU Eindhoven), Hannes Voigt (TU Dresden), and Nikolay Yakovets (TU Eindhoven)
Duration: 3 hours
Abstract: With the recent resurgence of interest in graph data management, there has been a flurry of research on the design and efficient engineering of graph query languages. On the design side, there is a large body of theoretical results that have been obtained regarding a wide variety of graph languages. On the engineering side, many sophisticated scalable solutions for graph query processing have been developed and put into practice. While both areas are focusing on the study of graph query languages, there has been relatively little work bridging the results on both sides. This tutorial will survey the state of the art in this landscape with a particular focus on uncovering and highlighting indicative research issues that are ripe for collaboration and cross-fertilization between the engineering and theoretical studies of graph database systems.

TUTORIAL 3: Data Security and Privacy for Outsourced Data in the Cloud

Organizers: Cetin Sahin (University of California, Santa Barbara) and Amr El Abbadi (University of California, Santa Barbara)
Duration: 3 hours
Abstract: Although outsourcing data to cloud storage has become popular, the increasing concerns about data security and privacy in the cloud blocks broader cloud adoption. Ensuring data security and privacy, therefore, is crucial for better and broader adoption of the cloud. This tutorial provides a comprehensive analysis of the state-of-the-art in the context of data security and privacy for outsourced data. We aim to cover common security and privacy threats for outsourced data, and relevant novel schemes and techniques with their design choices regarding security, privacy, functionality, and performance. Our explicit focus is on the recent schemes from both the database and the cryptography and security communities that enables query processing over encrypted data and oblivious cloud storage systems.