Rapid Adoption of Cloud Data Warehouse Technology Using Datometry Hyper-Q

摘要

The database industry is about to undergo a fundamental transformation
of unprecedented magnitude as enterprises start trading their well-established database stacks on premises for cloud database technology. Enterprises eager to move to the cloud face a significant dilemma: making existing applications work with new database platforms is an enormously costly undertaking that calls for rewriting and adjusting of 100’s if not 1,000’s of applications. In this talk, we present a next-generation virtualization technology that lets existing applications run natively on cloud-based 数据库系统. Using this platform, enterprises can move rapidly to the cloud and innovate and create competitive advantage as a matter of months instead of years. We describe technology and application scenarios and demonstrate effectiveness and performance of the approach through actual customer use cases.

演讲者Bios

Lyublena Antova

Lyublena Antova is a Research Scientist at Datometry, Inc.的专业知识 areas of query optimization, large-scale 数据库系统, and distributed systems and is a founding member of the team that designed and built the Orca query optimizer Greenplum / EMC /关键. 柳布丽娜得了B.S. in Computer 科学 from Sofia 大学圣. Kliment Ohridski (Bulgaria), her M.S. in Computer 科学 from Saarland University (Germany), and her Ph.D. in Computer 科学 from Cornell University.

Mohamed Soliman, Chief Architect

Mohamed is Datometry’s Chief Architect with deep expertise in distributed data processing, query processing, data warehousing. Prior to Datometry, Mohamed was a 工作人员 Engineer 在Pivotal公司. where he worked on building Greenplum’s Orca query optimizer initiative. 穆罕默德得了B.S. 和M.S. in Computer 科学 from Alexandria University (埃及)，他的博士学位.D. in Computer 科学 from the University of Waterloo, Canada.