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Extended Windows Memory Dump Analysis: Using and Writing WinDbg Extensions, Database and Event Stream Processing, Data Science and Visualization, Mach - Paperback

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Extended Windows Memory Dump Analysis: Using and Writing WinDbg Extensions, Database and Event Stream Processing, Data Science and Visualization, Mach - Paperback
Extended Windows Memory Dump Analysis: Using and Writing WinDbg Extensions, Database and Event Stream Processing, Data Science and Visualization, Mach - Paperback
Extended Windows Memory Dump Analysis: Using and Writing WinDbg Extensions, Database and Event Stream Processing, Data Science and Visualization, Mach - Paperback
$142.56/ea
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$142.56/ea $0.00

Product Description

by Dmitry Vostokov (Author), Software Diagnostics Services (Author), Dublin School of Security (Author)

The book contains the full Software Diagnostics Services training transcript with 25 hands-on exercises. This training course extends pattern-oriented analysis introduced in Accelerated Windows Memory Dump Analysis, Accelerated .NET Core Memory Dump Analysis, and Advanced Windows Memory Dump Analysis with Data Structures courses with:

  • Surveying the current landscape of WinDbg extensions with analysis pattern mappings
  • Writing WinDbg extensions in C, C++, and Rust (new)
  • Connecting WinDbg to NoSQL databases
  • Connecting WinDbg to streaming and log processing platforms
  • Querying and visualizing WinDbg output data
  • Using Data Science, Machine Learning, and Gen AI for diagnostics and postmortem debugging (new)

The new edition of the training updates existing exercises and includes new ones.

Prerequisites: Working knowledge of WinDbg. Working knowledge of C, C++, or Rust is optional (required only for some exercises). Other concepts are explained when necessary.

Audience: Software developers, software maintenance engineers, escalation engineers, quality assurance engineers, security and vulnerability researchers, malware and memory forensics analysts who want to build memory analysis pipelines.

Number of Pages: 364
Dimensions: 0.95 x 11 x 8.5 IN
Publication Date: May 04, 2025
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