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Data Engineering for Cybersecurity: Building Robust Data Pipelines, Detection Systems, and Analytics for Modern Security Teams-logo

Data Engineering for Cybersecurity: Building Robust Data Pipelines, Detection Systems, and Analytics for Modern Security Teams

Adrian Lund

Transform chaotic security logs into robust data pipelines for rapid threat detection and proactive incident response. Perfect for your focused morning commute, this analytical journey rescues overwhelmed technical professionals drowning in fragmented...

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Opening Credits

1/11/2026
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Chapter 1: Where Security Meets Data Engineering

1/11/2026
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Chapter 2: Mapping the Security Data Landscape

1/11/2026
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Chapter 3: Designing Schemas for Security Events

1/11/2026
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Chapter 4: Choosing Storage for Security Scale and Use Cases

1/11/2026
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Chapter 5: Building Ingestion, Parsing, and Normalization Pipelines

1/11/2026
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Chapter 6: Enrichment and Context: Making Security Data Smarter

1/11/2026
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Chapter 7: Detection Ready Datasets and Rules Engineering

1/11/2026
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Chapter 8: Fueling Threat Hunting and Incident Response

1/11/2026
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Chapter 9: Operating Reliable, Secure, and Governed Security Pipelines

1/11/2026
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Chapter 10: Designing a Security Data Platform End to End

1/11/2026
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Closing Credits

1/11/2026