Aggregation strategies for columnar in-memory databases in a mixed workload
Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management
SAP HANA database: data management for modern business applications
ACM SIGMOD Record
Efficient transaction processing in SAP HANA database: the end of a column store myth
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Data management with SAPs in-memory computing engine
Proceedings of the 15th International Conference on Extending Database Technology
ScyPer: elastic OLAP throughput on transactional data
Proceedings of the Second Workshop on Data Analytics in the Cloud
Comprehensive and interactive temporal query processing with SAP HANA
Proceedings of the VLDB Endowment
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In the last50 years the world has been completely transformed through the use of IT. We have now reached a new inflection point. Here we present, for the first time, how in-memory computing is changing the way businesses are run. Today, enterprise data is split into separate databases for performance reasons. Analytical data resides in warehouses, synchronized periodically with transactional systems. This separation makes flexible, real-time reporting on current data impossible. Multi-core CPUs, large main memories, cloud computing and powerful mobile devices are serving as the foundation for the transition of enterprises away from this restrictive model. We describe techniques that allow analytical and transactional processing at the speed of thought and enable new ways of doing business. The book is intended for university students, IT-professionals and IT-managers, but also for senior management who wish to create new business processes by leveraging in-memory computing.