Solving the enterprise data warehouse transformation conundrum

Enterprises looking to modernize the data warehouse have been facing the dilemma of choosing between migration of legacy systems and total re-engineering. While migrating the systems as is is not the best transformation choice for all workloads, total re-engineering can be complex and disrupt business processes.

An EDW transformation approach that maintains a balance between the two extreme approaches is required to solve this problem. You will have full control in addressing low-performing or costly, resource-constrained workloads, while also building a strong foundation for a modern data warehouse architecture that supports sophisticated analytics using a cloud/hybrid/on-premises strategy.

In this webinar, experts from Impetus will walk you through a path to solve this dilemma. Attendees of this session will be able to:

• Arrive at a pragmatic decision when faced with the dilemma
• Learn methods to estimate and measure the bottom-line impact across applications and reporting workloads
• Build a prioritized transformation roadmap of use cases based on cost, performance, and business needs
• Understand how automation can be used to optimize workloads for a scalable and iterative architecture

Speakers:

Abhijit Phatak

Senior Solution Architect, Impetus Technologies

Sanjay Sharma

Principal Architect, Impetus Technologies