Join experts as they share what is modern-day data virtualization and how it has always been a vital part of all data-driven businesses.
Key Highlights
- What is Data Virtualization and how different is that with other data platforms?
- Does Data Virtualization support regular data warehouses, big data, streaming, IoT and cloud data sources?
- What are the key benefits or features of Data Virtualization?
- What use cases are best to implement by Data Virtualization compared to other data platforms?
- What are the deployment models of Data Virtualization?
- What is the cost of that compared to the other existing data platforms, especially cloud data platforms?
- How fast or slow is Data Virtualization compared to other data platforms? Is that flexible to organization changes?
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Guest
Ali Aghatabar, Director at Intelicosmos
Ali Aghatabar is an experienced solutions, cloud, data & analytics architect, with a demonstrated history of working for enterprise and small high-tech companies as well as government, in the information technology and services industry. Skilled in management, solutions, and cloud (Azure/AWS) architectures, data and analytics, data management and architecture, consulting, and pre-sales. Strong engineering professional with a Bachelor focused in Software Engineering from the University of Tehran.
Guest
Javed Syed, Co-Founder & CEO Lyftrondata
Mr. Javed is a seasoned Co-Founder & CEO with Lyftrondata with specialty expertise in delivering Big Data & Cloud Analytics, Data Lake, Data Warehouse – BI Modernization, MDM, and Information Management domain, recognized by the industry as a thought leader and an innovative solution architect. Mr. Javed has provided architecture oversight, advisory, and hands-on technical delivery leadership to more than 30+ organizations ranging from global Fortune 50 companies to large government agencies.
Host
Laura Nailard, Precision Sourcing
Laura Nailard works with Precision Sourcing and specializes in Business Intelligence. With a focus on data warehousing, data visualization, data integration, big data, data governance, database administrators, data solution architects, and data modeling, she aims to tap the hidden value of data for critical decision-making.
