Modern data architectures are redefining how organizations interact with and consume data. Businesses migrating their on-premises data warehouse to a modern cloud-based data platform are increasingly adopting a lake house architecture that integrates their data lake, data warehouse, and purpose-built data stores.
Join Rackspace Technology and AWS as they explore how customers are gaining new insights from data by leveraging Amazon Redshift within a lake house architecture to query and combine exabytes of structured and semi-structured data across the data warehouse, operational database, and data lake using standard SQL.
Attendees of the webinar will learn:
• What a modern data strategy looks like
• Cost, speed, and performance benefits of Amazon Redshift as a central component of a modern data strategy
• How a lake house architecture stores data to make it easily available to other analytics and machine learning tools for deeper analytics capabilities
• The business impact for Onica by Rackspace Technology and AWS customers
o Pain points
o Technology meets/accelerates business needs
o Outcomes
Speakers:
• AWS: Dilip Kikla, Principal Analytics Specialist, Amazon Redshift
• Rackspace Technology: Daniel Quach, Practice Manager, Data Engineering