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The Definitive Guide to KQL: Using Kusto Query Language for Operations, Defending, and Threat Hunting (en Inglés)
Mark Morowczynski
(Autor)
·
Rod Trent
(Autor)
·
Matthew Zorich
(Autor)
·
Microsoft Press
· Tapa Blanda
The Definitive Guide to KQL: Using Kusto Query Language for Operations, Defending, and Threat Hunting (en Inglés) - Morowczynski, Mark ; Trent, Rod ; Zorich, Matthew
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Origen: Estados Unidos
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Miércoles 10 de Julio y el
Lunes 29 de Julio.
Lo recibirás en cualquier lugar de España entre 1 y 5 días hábiles luego del envío.
Reseña del libro "The Definitive Guide to KQL: Using Kusto Query Language for Operations, Defending, and Threat Hunting (en Inglés)"
Learning KQL is a necessity for system administrators, Azure operators, and security analysts alike, ensuring workloads are monitored to be active, accessible, and secure in the Microsoft Azure cloud platform. KQL is a powerful query language that helps analyze a large volume of structured, semi structured, and unstructured data. KQL has inbuilt operators and functions that lets a user analyze data to find trends, patterns, anomalies, create forecasting, and machine learning. KQL underpins a variety of Microsoft cloud products--Microsoft Sentinel, Azure Data Explorer, Microsoft 365 Advanced Hunting, Azure Resource Graph, Azure Monitor and more. This book is designed to be the definitive guide to not only learning KQL but also to using KQL to solve real-world problems. As you learn parts of the language, the authors will show how that can be used to aid with daily operations and security investigations. At the completion of the book, you will have not only learned the language, but also operationalized KQL in your environment. This topic is important for anyone who manages anything in Azure and any service (AWS, GCP, etc.) being managed through an Azure-based security platform, as well as systems administrators, security consultants, security operations center analysts, and data scientists.
