Implementing data cubes efficiently
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
An overview of data warehousing and OLAP technology
ACM SIGMOD Record
On the foundations of the universal relation model
ACM Transactions on Database Systems (TODS)
Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals
Data Mining and Knowledge Discovery
Specifying OLAP Cubes on XML Data
Journal of Intelligent Information Systems
Discovery-Driven Exploration of OLAP Data Cubes
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
A Distributed System for Answering Range Queries on Sensor Network Data
PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
Data exchange: getting to the core
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
Efficient computation of the skyline cube
VLDB '05 Proceedings of the 31st international conference on Very large data bases
The cgmCUBE project: Optimizing parallel data cube generation for ROLAP
Distributed and Parallel Databases
MapReduce: simplified data processing on large clusters
Communications of the ACM - 50th anniversary issue: 1958 - 2008
Graph OLAP: a multi-dimensional framework for graph data analysis
Knowledge and Information Systems
MAD skills: new analysis practices for big data
Proceedings of the VLDB Endowment
HadoopDB: an architectural hybrid of MapReduce and DBMS technologies for analytical workloads
Proceedings of the VLDB Endowment
Event-based lossy compression for effective and efficient OLAP over data streams
Data & Knowledge Engineering
The performance of MapReduce: an in-depth study
Proceedings of the VLDB Endowment
Big data and cloud computing: current state and future opportunities
Proceedings of the 14th International Conference on Extending Database Technology
Scalable SQL and NoSQL data stores
ACM SIGMOD Record
Graph cube: on warehousing and OLAP multidimensional networks
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
Analytics over large-scale multidimensional data: the big data revolution!
Proceedings of the ACM 14th international workshop on Data Warehousing and OLAP
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Ameliorating memory contention of OLAP operators on GPU processors
DaMoN '12 Proceedings of the Eighth International Workshop on Data Management on New Hardware
FoIKS'12 Proceedings of the 7th international conference on Foundations of Information and Knowledge Systems
Inside "Big Data management": ogres, onions, or parfaits?
Proceedings of the 15th International Conference on Extending Database Technology
Big privacy: protecting confidentiality in big data
XRDS: Crossroads, The ACM Magazine for Students - Big Data
Interactive analytical processing in big data systems: a cross-industry study of MapReduce workloads
Proceedings of the VLDB Endowment
Journal of Computer and System Sciences
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Recently, a great deal of interest for Big Data has risen, mainly driven from a widespread number of research problems strongly related to real-life applications and systems, such as representing, modeling, processing, querying and mining massive, distributed, large-scale repositories (mostly being of unstructured nature). Inspired by this main trend, in this paper we discuss three important aspects of Big Data research, namely OLAP over Big Data, Big Data Posting, and Privacy of Big Data. We also depict future research directions, hence implicitly defining a research agenda aiming at leading future challenges in this research field.