Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Data Engineering for Cybersecurity: Build Secure Data Pipelines with Free and Open-Source Tools

Data Engineering for Cybersecurity: Build Secure Data Pipelines with Free and Open-Source Tools

Bonifield, James

Paperback

DatabasesComputer Security

Publisher Price: $49.99

ISBN10: 1718504020
ISBN13: 9781718504028
Publisher: No Starch Press
Published: Aug 26 2025
Pages: 344
Weight: 1.45
Height: 0.90 Width: 7.00 Depth: 9.20
Language: English
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:

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