Data Engineering for Cybersecurity: Build Secure Data Pipelines with Free and Open-Source Tools - Paperback
by James Bonifield (Author)
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:James Bonifield has over a decade of experience analyzing malicious activity, implementing data pipelines, and training others in the security industry. He has built enterprise-scale log solutions, automated detection workflows, and led analyst teams investigating major cyber threat actors. Bonifield holds numerous certifications and enjoys spending time with his family, traveling, and tinkering with all things security and Python related.
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