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.
Turn the avalanche of raw data from Azure Data Explorer, Azure Monitor, Microsoft Sentinel, and other Microsoft data platforms into actionable intelligence with KQL (Kusto Query Language). Experts in information security and analysis guide you through what it takes to automate your approach to risk assessment and remediation, speeding up detection time while reducing manual work using KQL. This accessible and practical guide--designed for a broad range of people with varying experience in KQL--will quickly make KQL second nature for information security. Solve real problems with Kusto Query Language-- and build your competitive advantage: Learn the fundamentals of KQL--what it is and where it is used Examine the anatomy of a KQL query Understand why data summation and aggregation is important See examples of data summation, including count, countif, and dcount Learn the benefits of moving from raw data ingestion to a more automated approach for security operations Unlock how to write efficient and effective queries Work with advanced KQL operators, advanced data strings, and multivalued strings Explore KQL for day-to-day admin tasks, performance, and troubleshooting U