Which Cloud and how to decide
What workload is moving to the Cloud in data warehousing and analytics
Are firms using multi-cloud?
Migrating to from on-premise legacy systems to cloud
Considerations and limitations
What about ETL and data integration
How to schedule and maintain coherence with hybrid on-premise/Cloud
Things that work well without change
Things that do not work well without change
Tuning workload on the Cloud
BI tool considerations
As a former EVP, CIO, and later CTO of Sears Holdings, Dr. Phil Shelley is an experienced business and IT practitioner with a track record of innovation in analytics and modernization initiatives. Phil pioneered the use of Big Data \ techniques in large companies, to modernize analytics, mainframes, and data warehouses: Starting a decade ago, he drove the use of Open-Source, and Cloud technologies as enablers for transformation and modernization.
Building on this hands-on experience, Dr. Shelley and his work colleagues formed Datametica, which has become a global leader in digital modernization of analytics, data warehouses, and data management, with a particular focus on leveraging Cloud platforms. Datametica has world-leading automation technologies, accelerators, and reference architectures that speed the migration of on-premise systems to the Cloud; typically in less than half the time and cost, combined with the lowest risk by parallel running across Cloud and on-premise at petabyte scale.
Dr. Shelley has a degree in mechanical engineering, a Ph.D. in biomedical engineering, having worked in the UK, Germany, and the USA; he has led Businesses, Research and Development, Quality and IT organizations and has held positions in various technical and business leadership roles including CEO, CIO, EVP, and CTO.
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