"Designing Big Data Platforms: How to Use, Deploy, and Maintain Big Data Systems" is a comprehensive guide authored by Yusuf Aytas, aimed at professionals and students navigating the complex landscape of Big Data technologies. Spanning 336 pages, the book serves as a practical manual, providing expert insights on effectively utilizing an array of tools for data management and processing. Aytas draws on his extensive experience as a software engineer to help readers make informed decisions about selecting the right tools for their specific needs, whether they are ready-to-go solutions or those requiring intricate setups. The guide emphasizes the importance of building an ideal Big Data platform that caters to diverse stakeholders, including data analysts, engineers, and scientists. It offers detailed discussions on crucial topics such as stream data processing, data analytics, data science, data discovery, and security, ensuring that readers can understand the processes involved in handling large datasets. With step-by-step instructions, the book illustrates how to construct a data pipeline, from foundational scripting to advanced distributed systems, thereby demystifying the complexities of data processing at scale. In addition to covering the latest tools and technologies in the field, "Designing Big Data Platforms" introduces the foundational concepts required to establish a modern data platform. This makes it an invaluable resource not only for industry professionals seeking to enhance their Big Data capabilities but also for researchers and students in computer science and related disciplines. The book's practical approach, combined with its authoritative guidance, ensures that it stands out as an essential reference for anyone involved in the evolving world of Big Data.