Designing Big Data Platforms: How to Use, Deploy, and Maintain Big Data Systems

by Yusuf Aytas

DESIGNING BIG DATA PLATFORMS Provides expert guidance and valuable insights on getting the most out of Big Data systemsAn 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 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 Provides up-to-date coverage of the tools currently used in Big Data processing and managementOffers step-by-step guidance on building a data pipeline, from basic scripting to distributed systemsHighlights and explains how data is processed at scaleIncludes an introduction to the foundation of a modern data platformDesigning Big Data 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.

400 pages, Kindle Edition

Published June 29, 2021

About the author

Yusuf Aytas, a Bilkent University graduate, is a seasoned software engineer, leader and author. Yusuf started his journey with startups. After gaining experience, he worked for renowned companies like Amazon, Workday, and TripAdvisor in technical and leadership positions. He shares his insights and experience through blog posts, university lectures, and talks at conferences.

Reviews

[John · Rating 5 out of 5]

This is a comprehensive and practical guide for those looking to navigate the world of big data platforms. As big data continues to grow in importance and complexity, the book serves as an invaluable resource for professionals, students, and researchers interested in the subject.

The author begins with an introduction to big data, discussing its evolution, significance, and challenges. He then delves into various big data platforms, including Hadoop, Spark, and NoSQL databases, providing detailed explanations of their architecture, components, and use cases. The book also covers data ingestion, storage, processing, and analytics, offering a holistic view of the big data ecosystem.

One of the book's strengths is its focus on the practical aspects of deploying and maintaining big data systems. Readers will find a wealth of information on topics such as data security, governance, and performance optimization. Additionally, the author provides hands-on examples and real-world case studies that illustrate key concepts and best practices.

The book is well-structured and written in an accessible style, making it suitable for readers with varying levels of experience in the field. Its logical organization allows readers to easily locate specific topics, while the detailed explanations and illustrations make even the most complex concepts easy to understand.

However, the book would benefit from more emphasis on emerging technologies and trends in the big data space. An updated edition could include more information on machine learning, artificial intelligence, and edge computing, as well as a deeper exploration of cloud-based big data platforms.

Overall, the book is a must-read for anyone interested in big data platforms. Its practical approach, combined with its comprehensive coverage of the subject, makes it an essential resource for those looking to harness the power of big data in their organization or research.

[Reader · Rating 5 out of 5]

Awesome!

[Richard · Rating 5 out of 5]

Designing big data platforms is an amazing piece of work. It's easy to read. It gives an overview of data platforms from many different aspects. It's full of references to other people's work. It combines many ideas at the end for an ideal data platform.