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Designing Big Data Platforms
2021-07-27
Yusuf Aytas
– author
DESIGNING BIG DATA PLATFORMS Provides expert guidance and valuable insights on getting the most out of Big Data systems An array of tools are currently available for managing and processing data—some are ready-to-go solutions that can be immediately deployed, while others require complex and time-intensive setups. With such a vast range of options, choosing the right tool to build a solution can be complicated, as can determining which tools work well with each other. Designing Big Data Platforms provides clear and authoritative guidance on the critical decisions necessary for successfully deploying, operating, and maintaining Big Data systems. This highly practical guide helps readers understand how to process large amounts of data with well-known Linux tools and database solutions, use effective techniques to collect and manage data from multiple sources, transform data into meaningful business insights, and much more. Author Yusuf Aytas, a software engineer with a vast amount of big data experience, discusses the design of the ideal Big Data platform: one that meets the needs of data analysts, data engineers, data scientists, software engineers, and a spectrum of other stakeholders across an organization. Detailed yet accessible chapters cover key topics such as stream data processing, data analytics, data science, data discovery, and data security. This real-world manual for Big Data technologies: Provides up-to-date coverage of the tools currently used in Big Data processing and management Offers step-by-step guidance on building a data pipeline, from basic scripting to distributed systems Highlights and explains how data is processed at scale Includes an introduction to the foundation of a modern data platform Designing Big Data Platforms: How to Use, Deploy, and Maintain Big Data Systems is a must-have for all professionals working with Big Data, as well researchers and students in computer science and related fields. |
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Mastering RabbitMQ
2016-01-06
Mastering RabbitMQ provides a comprehensive guide to developing and scaling message-driven applications using RabbitMQ. From installation and configuration to advanced concepts like cluster management and high availability, this book equips you with the knowledge and practical skills to ensure robust and efficient messaging solutions. What this Book will help me do Effectively set up and configure RabbitMQ for scalable applications. Implement robust messaging solutions using RabbitMQ's administrative tools. Leverage clustering and high availability for fault-tolerant systems. Create custom RabbitMQ plugins using Erlang for extended capabilities. Monitor and secure RabbitMQ environments leveraging popular tools and practices. Author(s) Yusuf Aytas and the co-authors bring a wealth of technical knowledge and practical experience in messaging systems and RabbitMQ. With years of expertise in software engineering and hands-on implementations in enterprise environments, they provide insights that combine theory with real-world application. Who is it for? This book is ideal for developers and IT professionals with basic knowledge of RabbitMQ seeking to master advanced usage and best practices. It caters to those looking to design, develop, and maintain robust messaging systems efficiently. Perfect for those with a background in message queuing, it provides an in-depth understanding to take your expertise to the next level. |
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