Building Your Modern Data Strategy with AWS Analytics

Presented by

Dan Quach, Rackspace Technology and Dilip Kikla, Amazon Web Services

About this talk

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

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