David Loshin

President of Knowledge Integrity

Logical Architectures to Inform Cloud Data Migration

Corporate data strategies increasingly insist on data environment modernization in concert with migration of data and application processing to the cloud. The main challenge is seamlessly transitioning from a monolithic on-premises platform to a distributed enterprise, leveraging both on-premises systems and a variety of cloud services accommodated by multiple cloud instances among different cloud service providers. There is a risk of increased complexity when attempting this modernization without good practices for the hybrid data environment.

In this discussion, we consider the needs of different data consumer communities, methods of empowering them through self-service data access, and how disparate data can be unified in an intelligent manner. We explore the use of a logical architecture that relies on a logical data fabric and is powered by data virtualization to inform cloud data modernization by:

• Influencing an innovative data strategy
• Motivating the design of a hybrid data architecture
• Enabling enterprise data awareness
• Streamlining data access and speeding time to value
• Supporting the self-service data access patterns for each of the data consumer communities

Ravi Shankar

Senior Vice President and Chief Marketing Officer, Denodo

Use Case Examples: Five Best Practices for Successful Modernization

Many companies have successfully modernized their legacy data warehouse to a cloud data warehouse using logical data fabric and data virtualization. Some advanced organizations have used these logical architectures again to migrate from their initial cloud data warehouse to a different one to further improve scalability and lower costs. What are the successful lessons learned from their migration and how to avoid their early pitfalls?

In this presentation, the author will cite specific examples of customers who have migrated to cloud data warehouses in the last seven years. He will present five best practices learned from these migrations. Specifically, he will answer the following questions:

• What were the business needs of customers who migrated?
• Which cloud data warehouse did they choose and how did it work for them?
• What aspects worked and what didn’t in this initial migration?
• How did they use logical data fabric and data virtualization to aid the migration?
• What are the five best practices to get it right the first time?

Speaker Bio: Ravi Shankar is the senior vice president and chief marketing officer at Denodo. He is responsible for Denodo’s global marketing efforts, including product marketing, demand generation, field marketing, communications, social marketing, customer advocacy, partner marketing, branding, and solutions marketing.

Ravi brings to his role more than 25 years of proven marketing leadership and product management, business development, and software development expertise within both large and emerging enterprise software leaders such as Oracle, Informatica, and Siperian. His deep expertise in data-related technologies facilitates increased global awareness of the Denodo Platform and accelerates its growth.

Ravi holds an MBA from the Haas School of Business at the University of California, Berkeley, and an MS and an Honors BS degree in computer science. He is a published author and a frequent speaker on data management and governance. Prior to joining Denodo, Ravi was the vice president of product marketing at Informatica and was instrumental in positioning the company as a leader in the master data management (MDM) market. He helped accelerate MDM revenue and customer acquisition, and helped propel Informatica into a $1B company.