Data Engineering for Cybersecurity by James Bonifield

Category Other
Type E-Books
Language English
Total size 6.1 MB
Uploaded By reykX

Downloads 389
Last checked 2 days ago
Date uploaded 4 months ago
Seeders 12
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Infohash : AAFA48C6C4481450DF2C36C2EBAAFADF1B05ADCC

Format: .pdf
Size: 6.11 MB
Year: 2025

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. In this book, you’ll write a few scripts using the Python programming language and use the Ruby programming language to transform data.

                Files: 

                Data Engineering for Cybersecurity by James Bonifield.pdf (6.1 MB)

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