

#150 Unlocking the Power of Data Science in the Cloud
Aug 14, 2023
In this engaging discussion, John Knieriemen, Regional Business Lead at Exasol, and Solongo Erdenekhuyag, former Data Strategy Leader, share their insights on migrating analytics to the cloud. They highlight how cloud solutions can streamline operations and enhance team collaboration. The duo delves into real-world success stories, emphasizing the need for effective communication during transitions. They also explore the importance of a Center of Excellence in managing cloud databases, ensuring optimal performance and strategic decision-making.
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Cloud Migration Motivation
- Move analytics to the cloud for flexibility and cost savings.
- Avoid on-premise infrastructure limitations and embrace cloud agility.
Cloud Analytics Layers
- Cloud analytics involves multiple layers: storage, integration/ingestion, processing, and analysis.
- Begin cloud migration with the storage layer (e.g., Amazon S3, Azure Blob) due to its low cost.
Infrastructure Options
- Choose from full on-premise, hybrid, or full cloud infrastructure for analytics.
- Full cloud offers optimal flexibility, while on-premise addresses security and control concerns.