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DataFramed

#150 Unlocking the Power of Data Science in the Cloud

Aug 14, 2023
39:27

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Quick takeaways

  • Moving analytics to the cloud provides flexibility, improved performance, and cost savings while eliminating the need for on-premise infrastructure and regular updates.
  • Before deciding to move everything to the cloud, organizations should consider alternatives and evaluate specific requirements, costs, and risks.

Deep dives

Benefits of moving analytics to the cloud

Moving analytics to the cloud offers flexibility, improved performance, and cost savings. Cloud platforms provide the necessary infrastructure and tools for efficient data analysis, allowing data scientists and analysts to work more effectively. It eliminates the need for on-premise infrastructure and regular updates, offering greater flexibility and reducing costs. Organizations can also focus on strategic technology decision-making instead of managing platforms. Overall, moving analytics to the cloud provides increased scalability, agility, and operational efficiency.

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