BOOKS - Snowflake Data Engineering (Final Release)
Snowflake Data Engineering (Final Release) - Maja Ferle 2025 PDF Manning Publications BOOKS
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Snowflake Data Engineering (Final Release)
Author: Maja Ferle
Year: 2025
Pages: 370
Format: PDF
File size: 19.4 MB
Language: ENG



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Snowflake Data Engineering Final Release: A Guide to Building Scalable and Secure Data Pipelines In this book, we explore the latest advancements in data engineering and their practical applications in the real world. We delve into the world of big data, machine learning, and cloud computing, and examine how these technologies are transforming the way we live, work, and interact with one another. The book provides a comprehensive overview of the current state of data engineering, from its history and evolution to its future prospects and challenges. It also offers practical advice on how to build scalable and secure data pipelines, using real-world examples and case studies to illustrate key concepts. Throughout the book, we emphasize the importance of understanding the technology evolution process and developing a personal paradigm for perceiving the technological process of developing modern knowledge. This involves recognizing the interconnectedness of technology, society, and culture, and how they shape our lives and our relationship with the world around us. By studying the evolution of technology, we can gain a deeper appreciation for the complexity and beauty of the digital age, and learn how to navigate its challenges and opportunities.
Snowflake Data Engineering Final Release: A Guide to Building Scalable and Secure Data Pipelines В этой книге мы рассмотрим последние достижения в области инженерии данных и их практическое применение в реальном мире. Мы углубляемся в мир больших данных, машинного обучения и облачных вычислений и изучаем, как эти технологии изменяют то, как мы живем, работаем и взаимодействуем друг с другом. В книге представлен всесторонний обзор текущего состояния инженерии данных, от ее истории и эволюции до ее будущих перспектив и проблем. Он также предлагает практические советы о том, как создавать масштабируемые и безопасные конвейеры данных, используя реальные примеры и тематические исследования для иллюстрации ключевых концепций. На протяжении всей книги мы подчеркиваем важность понимания процесса эволюции технологий и выработки личностной парадигмы восприятия технологического процесса развития современных знаний. Это предполагает признание взаимосвязанности технологий, общества и культуры, а также того, как они формируют нашу жизнь и наши отношения с окружающим миром. Изучая эволюцию технологий, мы можем глубже оценить сложность и красоту цифровой эпохи и научиться ориентироваться в ее вызовах и возможностях.
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