Data Science 3 - Cloud Benefits for Data Scientists:

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I. Centralized Storage and Computing:


Advantage: Cloud serves as a central storage system, overcoming physical limitations of local machines.

Capability: Allows deployment of analytics and storage capacities on advanced machines, not necessarily owned by the user or their company.

II. High-Performance Computing and Algorithms:


Benefit: Enables the use of advanced computing algorithms and high-performance computing.

Scenario: Algorithms stored in the Cloud can be deployed on large datasets, even when local systems lack the capability.

III. Collaboration and Data Accessibility:


Collaboration: Multiple entities worldwide can work simultaneously on the same data.

Facilitation: Information, algorithms, and tools are available centrally in the Cloud, fostering collaboration among teams in different locations (e.g., Germany, India, Ghana).

IV. Instant Access to Technologies:


Accessibility: Cloud provides instant access to open-source technologies like Apache Spark without local installation.

Up-to-Date Tools: Access to the latest tools and libraries without the hassle of maintenance ensures efficiency.

V. Universal Accessibility:


Anytime, Anywhere Access: Cloud services can be accessed from various devices (laptops, tablets, phones) and time zones.

Facilitates Collaboration: Enables easier collaboration with team members across different locations.

VI. Cloud Providers and Learning Platforms:


Major Cloud Providers: IBM (IBM Cloud), Amazon (AWS), Google (Google Cloud Platform).

Learning Opportunities: IBM provides Skills Network labs for learners, offering tools like Jupyter Notebooks and Spark clusters for data science projects.

Pre-Built Environments: Tech companies offer Cloud platforms with pre-built environments, allowing users to familiarize themselves with cloud-based technologies.

VII. Enhanced Productivity for Data Scientists:


Practice and Familiarity: With regular use, data scientists find that the Cloud dramatically enhances productivity.

Access to Resources: Cloud offers access to a variety of resources, tools, and pre-built environments, contributing to the efficiency of data science projects.

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