Webinar
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What You’ll Learn in This Webinar
As the adoption of public cloud services continues to explode, companies are starting to experience the challenges that come with competing in an ever-changing and expanding cloud marketplace.
Join this Techstrong Learning Experience for an in-depth discussion on optimizing your cloud data strategy. You will learn about key considerations to building your data management approach, including the importance of software choices and cloud tenancy. We will also share a real-life example of an organization that optimized its cloud strategy through the adoption of fully managed open-source services in its own cloud tenant.
You'll learn:
- How to build a cloud strategy that contributes to sustainable growth
- What BYOC is and how you can integrate this strategic imperative into your roadmap
- How to ensure the long-term viability of your cloud initiatives with a multi-cloud high availability strategy
Chris Butler
Senior Solution Architect - Aiven
Chris Butler is a Senior Solution Architect for Aiven covering North and South America. He has had several tech industry roles, first as a software engineer with SAS, specializing in clinical trial analytic systems for large pharmaceutical companies, before moving into the partner solutions domain with Dataiku, an end-to-end MLOps platform. He joined Aiven last year and loves engaging with customers and partners to build open-source data platforms that solve interesting use cases. When not at a desk or conference, you may find him playing saxophone with one of several small jazz combos in the Raleigh-Durham NC area.
Sayle Matthews
Senior Cloud Architect II - DoiT International
Sayle Matthews is a Senior Cloud Architect II at DoiT International focusing on data solutions. Sayle has a solid track record of designing and implementing efficient solutions to complex problems. Among a myriad of diverse technical knowledge, Sayle is currently acting as one of the leaders in advising customers on optimizing BigQuery for the recently launched Editions pricing models.
