توضیحات
This book provides an in-depth overview of big data technologies, cloud computing platforms, and data science methodologies, highlighting how they integrate to solve complex computational problems. It covers data storage, processing frameworks like Hadoop and Spark, cloud services, and analytical techniques for extracting insights from large datasets. Through practical examples, case studies, and best practices, readers learn how to design scalable data solutions and implement data-driven decision-making strategies. The text also addresses challenges such as security, performance optimization, and system architecture for handling massive data volumes. By the end, readers gain the knowledge and skills to work effectively at the intersection of big data, cloud computing, and data science engineering.
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