Affiliation:
1. Tata Consultancy Services, USA
Abstract
In this chapter, the authors delve into the fundamental concepts, methodologies, and best practices for harnessing the power of cloud platforms in data science workflows. They begin by providing an overview of cloud computing paradigms and their relevance to data science, highlighting the benefits of scalability, flexibility, and cost-effectiveness offered by cloud-based solutions. Next, they delve into the key components of cloud-based data science environments, including data storage, processing, analytics, and machine learning tools available on popular cloud platforms such as AWS, Google Cloud, and Microsoft Azure. Through practical examples and case studies, they illustrate how organizations can leverage cloud-based services and technologies to accelerate data-driven decision-making, enhance predictive analytics capabilities, and drive innovation in diverse domains.
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