Data Engineering for Cybersecurity: Build Secure Data Pipelines with Free and Open-Source Tools
| AUTHOR | Bonifield, James |
| PUBLISHER | No Starch Press (08/26/2025) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
Turn raw logs into real intelligence. Security teams rely on telemetry--the continuous stream of logs, events, metrics, and signals that reveal what's happening across systems, endpoints, and cloud services. But that data doesn't organize itself. It has to be collected, normalized, enriched, and secured before it becomes useful. That's where data engineering comes in. In this hands-on guide, cybersecurity engineer James Bonifield teaches you how to design and build scalable, secure data pipelines using free, open source tools such as Filebeat, Logstash, Redis, Kafka, and Elasticsearch and more. You'll learn how to collect telemetry from Windows including Sysmon and PowerShell events, Linux files and syslog, and streaming data from network and security appliances. You'll then transform it into structured formats, secure it in transit, and automate your deployments using Ansible. You'll also learn how to:
Whether you're building a pipeline on a tight budget or deploying an enterprise-scale system, this book shows you how to centralize your security data, support real-time detection, and lay the groundwork for incident response and long-term forensics.
- Encrypt and secure data in transit using TLS and SSH
- Centrally manage code and configuration files using Git
- Transform messy logs into structured events
- Enrich data with threat intelligence using Redis and Memcached
- Stream and centralize data at scale with Kafka
- Automate with Ansible for repeatable deployments
Whether you're building a pipeline on a tight budget or deploying an enterprise-scale system, this book shows you how to centralize your security data, support real-time detection, and lay the groundwork for incident response and long-term forensics.
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Product Format
Product Details
ISBN-13:
9781718504028
ISBN-10:
1718504020
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
More Product Details
Page Count:
344
Carton Quantity:
20
Product Dimensions:
7.00 x 0.90 x 9.20 inches
Weight:
1.45 pound(s)
Feature Codes:
Index,
Price on Product
Country of Origin:
US
Subject Information
BISAC Categories
Computers | Security - Network Security
Computers | Data Science - Data Analytics
Computers | Forensics
Dewey Decimal:
005.8
Library of Congress Control Number:
2025007905
Descriptions, Reviews, Etc.
publisher marketing
Turn raw logs into real intelligence. Security teams rely on telemetry--the continuous stream of logs, events, metrics, and signals that reveal what's happening across systems, endpoints, and cloud services. But that data doesn't organize itself. It has to be collected, normalized, enriched, and secured before it becomes useful. That's where data engineering comes in. In this hands-on guide, cybersecurity engineer James Bonifield teaches you how to design and build scalable, secure data pipelines using free, open source tools such as Filebeat, Logstash, Redis, Kafka, and Elasticsearch and more. You'll learn how to collect telemetry from Windows including Sysmon and PowerShell events, Linux files and syslog, and streaming data from network and security appliances. You'll then transform it into structured formats, secure it in transit, and automate your deployments using Ansible. You'll also learn how to:
Whether you're building a pipeline on a tight budget or deploying an enterprise-scale system, this book shows you how to centralize your security data, support real-time detection, and lay the groundwork for incident response and long-term forensics.
- Encrypt and secure data in transit using TLS and SSH
- Centrally manage code and configuration files using Git
- Transform messy logs into structured events
- Enrich data with threat intelligence using Redis and Memcached
- Stream and centralize data at scale with Kafka
- Automate with Ansible for repeatable deployments
Whether you're building a pipeline on a tight budget or deploying an enterprise-scale system, this book shows you how to centralize your security data, support real-time detection, and lay the groundwork for incident response and long-term forensics.
Show More
List Price $49.99
Your Price
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