Mr Jon Tinberg1, Mr Jakub Szarlat, Dr Werner Scholz
1Xenon Systems, ,
Data has always been critical to eResearch, however the amount of data that is being created now has increased dramatically. From more detailed images, to larger datasets from instruments – everywhere eResearchers work comes with massive increases in data.
Management and preservation of this data is critical for long term success of research. Unfortunately, data management is largely ignored or left to researchers to sort out within an allocated storage quota. Quiet neglect of data management has long term consequences and makes infrastructure changes and updates exponentially harder.
The presentation will outline proven architectures to create data management best practice solutions – whether on-premises or in the cloud.
The speaker will provide practical solutions and IT architectures for the common data management issues faced by eResearchers. The talk will encompass critical data issues such as data set size, retention horizon, sovereignty, privacy, “weight of data”, workloads and applications, bandwidth, data standards, and collaboration plans.
Biography:
Jakub Szarlat, Senior Systems Architect
Jakub is an experienced solution architect and infrastructure manager with a 20+ year history of working in the eResearch. Jakub has managed teams implementing and maintaining complex infrastructure environments in university and research environments. Jakub excels in realising innovative ideas, such as private clouds, containerisation in eResearch, and solutions to simplify management of complex VDI environments. Jakub’s approach to solution is to focus on helping scientists do science with the best IT available.