What’s Best for Analytics & Data Science: Cloud, On-Premises or Hybrid?

Presented by

Andrew Brust, Mathias Golombek, Helena Schwenk

About this talk

The cloud will inevitably be a component of your customers’ and prospects’ data strategies, not to mention your own. But how does this impact analytics and data science? That question is especially important since the journey to the cloud has many stops, and most companies won’t move all their data to the cloud immediately. It’s a heterogeneous, hybrid world out there: some data must stay on-premises, while some data is born in the cloud and should stay there. Other data allows discretion around migration and can be left in place. But when it comes to both analytics and data science, the work should encompass all data. Yet, how is that achieved with a single platform, when data isn’t centralized? The good news is solutions and architectures exist to achieve this mission. To learn more about applying analytics and harnessing data science across all data in the cloud, on-premises or otherwise, plan to attend this free 1-hour webinar from GigaOm Research. The Webinar features GigaOm Analyst Andrew Brust and special guests, Mathias Golombek, CTO, and Helena Schwenk, AR and Market Insights Manager from Exasol, a leader in in-memory analytic databases. In this 1-hour webinar, we will explore: - Why the cloud together with analytics and data science are such a good match - What hybrid cloud is, what its practical implications are, and how to make it work - Considerations for cloud analytics performance and scale - Using the cloud for AI and data science

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