1. Applied ELK Stack: Data Insights and Business Metrics
Author: Gurpreet S. Sachdeva
If you’re looking to enhance your understanding of data insights and metrics, “Applied ELK Stack” is an essential read. This book seamlessly integrates concepts from Elasticsearch, Logstash, and Kibana, providing you with actionable strategies for combining data insights with business metrics. Sachdeva’s clear and approachable writing makes complex ideas accessible, helping both novices and professionals understand how to leverage ELK tools effectively. A highlight of this book is its case studies, which showcase real-world applications, making it easier to grasp the significance of data-driven decisions.
2. Data Engineering for Cybersecurity
Author: James Bonifield
Set to be released in August 2025, “Data Engineering for Cybersecurity” is a timely addition to the knowledge base of anyone interested in the intersection of data engineering and security. Bonifield underscores the importance of building robust data frameworks to combat cybersecurity threats. This book discusses innovative methods to use data engineering for proactive cybersecurity measures, including real-time data analysis and threat detection. Whether you’re working in cybersecurity or data engineering, this book will equip you with the knowledge to architect secure data systems that prevent breaches and vulnerabilities.
3. ELK Stack 7 – Aprende desde 0
Author: Luis Dieguez Barrio
This Spanish edition of the ELK stack guide is a fantastic resource for beginners looking to get a solid grounding in Elasticsearch, Logstash, Kibana, and Beats. Presented in an engaging and easy-to-follow manner, Dieguez Barrio introduces core concepts and intricate details in a way that’s accessible for Spanish-speaking audiences. The book is rich with practical examples and exercises that stimulate learning, making it easier to grasp the infrastructure of the Elastic Stack from the ground up. If you’re a Spanish speaker eager to learn, this book is a perfect starting point.
4. Machine Learning with the Elastic Stack
Authors: Rich Collier, Bahaaldine Azarmi
Explore the synergy between machine learning and the Elastic Stack in this powerful resource. Collier and Azarmi provide insight into how to integrate machine learning techniques with distributed search engines, opening the door to advanced analytics capabilities. The content is packed with practical examples and case studies, making it easier to implement machine learning in real-world applications. Their expertise serves as a guide to understanding how to enhance your analytics strategy and cultivate advanced predictive capabilities, making this a must-read for data scientists and engineers alike.
5. Advanced Elasticsearch 7.0
Author: Wai Tak Wong
For those looking to delve deeper into Elasticsearch, “Advanced Elasticsearch 7.0” is an impressive guide to mastering advanced distributed searching techniques. Wong navigates through complex querying and indexing strategies, making the process of learning both rigorous and rewarding. The practical approach in this book ensures that you can apply what you learn directly to your work. Perfect for those who are already comfortable with the basics of Elasticsearch and are ready to elevate their skills to the next level, this book will help you unlock the full power of search technologies.
6. Kibana 7 Quick Start Guide
Author: Anurag Srivastava
If you’re eager to get started with visualizing data quickly, Srivastava’s “Kibana 7 Quick Start Guide” is the book for you. It offers a fast-paced overview of Kibana’s capabilities and focuses on practical implementations for visualizing data stored in Elasticsearch. With step-by-step guidance and clear examples, it will help you to build insightful dashboards efficiently. This guide serves both novices who are just finding their way in data visualization and experienced users looking to reinforce their skills. Make your data tell a story through stunning visualizations with this essential guide!
7. Hands-on DevOps with Linux
Author: Alisson Machado de Menezes
“Hands-on DevOps with Linux” covers a spectrum of topics necessary for building and overseeing DevOps pipelines. This book uniquely positions Linux as a powerful centerpiece in deploying modern software applications. de Menezes not only explains fundamental concepts but dives into tools like Terraform, Docker, and Kubernetes. It offers a practical approach to integrating these tools for an optimal workflow. This book is perfect for professionals seeking to refine their DevOps methodologies while sharpening their Linux skills.
8. Elastic Stack Practical Guide [Logstash/Beats Edition]
Author: 日比野 壯
This comprehensive guide offers a thorough exploration of Logstash and Beats, which are critical components of the Elastic Stack. The author provides valuable insights into their configurations and deployments, making it a practical tool for both beginners and experts. Readers will benefit from clear explanations and a wealth of examples showing how to manage log data efficiently. Understanding Logstash and Beats will empower you to create powerful data pipelines that are vital in today’s data-driven world.
