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Broad Spectrum Data Virtualization: How Big Companies are Using it for BI, Big Data and Beyond:
Data Virtualization is becoming mainstream.In its new evolution, instead of being pitched as an alternative to ETL/replication, it has been co-opted to provide Agile BI / Logical DW and integration of Big Data analytics. However, only a few vendors such as Denodo have offered the product capabilities and customer support to make Data Virtualization go beyond Informational use cases. Broad spectrum data virtualization is about building a common semantic data layer that serves both Informational and Operational/Transactional business needs by providing data abstraction and data services for many-to-many, sources-to-applications use cases, including SOA / REST-based agile Application development, modernization and integration.
Suresh Chandrasekaran – Senior VP, North America
Throughout his career, Suresh Chandrasekaran has been in product management and marketing roles at Vitria, Alta Vista, Compaq and as a management consultant at Booz Allen. Suresh has helped business leverage information, whether internal and external, through the medium of technology to deliver competitive advantage. Suresh has an MBA from the University of Michigan, Ann Arbor and an undergraduate degree from India.
Paul Moxon – Senior Director, Product Management
Paul Moxon is a senior director at Denodo Technologies responsible for product management and solution architecture. He is an expert in information architecture drawing from his 20+ years of experience with leading integration companies such as Progress Software, IONA Technologies, BEA Systems, and Axway. He has also spent a number of years working as a consultant on large integration projects with companies such as Bechtel, Saudi Aramco, AT&T Wireless, and Reuters.
Denodo is the leader in Data Virtualization and provides a common enterprise data layer exposed as Linked Data Services. Our global customers leverage this to develop agile connected applications, big data analytics and agile BI solutions using canonical business views of data. As the nexus of big data, cloud, social and mobile join complex enterprise data, it has created the perfect storm for a new approach – data virtualization – to better harness this information, faster and at lower cost than traditional solutions and deliver agile results to business in every industry.
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